2021ᖺᗘ୺䛺◊✲ᡂᯝ䛾ᴫせ㻞㻜㻞㻞ᖺ8᭶目 次2021 年度主な研究成果の概要
Ⅰ．送電分野1.

腐食に対する送電用鉄塔の健全性診断技術―腐食量推定手法および検査・診断技術の個別機能と具体例－......................................................................................................p. 8
ファシリティ技術研究部門

2.

堀 康彦

未塗装の送電用鉄塔を対象とした空撮画像を用いた劣化ランク自動判定システムの開発.................................................................................................................................p. 11
ファシリティ技術研究部門

3.

石野 隆一

送電線耐雷設計ガイド（2022 年改訂版）.....................................................................p. 14
雷リスク調査研究委員会 送電雷リスク分科会

4.

送電線における多相雷事故率の評価手法の開発－交流位相差を考慮した 2 並列気中ギ
ャップの同時フラッシオーバ特性－..........................................................................p. 17
ファシリティ技術研究部門

5.

中根 龍一

着氷雪がいしの着雪特性およびフラッシオーバ特性の評価－人工着雪課電実験による放電進展様相と耐電圧特性の検討－..........................................................................p. 20
ファシリティ技術研究部門

6.

三好 雅仁

難着雪リングが及ぼす直流コロナ特性への影響－コロナケージを用いた実験的検討－.................................................................................................................................p. 23
ファシリティ技術研究部門

7.

宮島 清富

送電用マンホールでの遠隔絶縁診断に向けた部分放電波形データの圧縮手法の開発.................................................................................................................................p. 26
ファシリティ技術研究部門

8.

真下 貴文

OF ケーブルでの油中ガス拡散挙動の解明－油浸紙を介した油中ガス拡散係数の測定とモデル実験系での油中ガス拡散挙動解析－...........................................................p. 29
ファシリティ技術研究部門

9.

牧野 裕太

超高圧 CV ケーブルの空間電荷測定における過渡温度条件下での信号補正法の開発.................................................................................................................................p. 32
ファシリティ技術研究部門

森田 翔亮

10. 空間電荷測定に基づくケーブル絶縁体の電界分布推定における解析精度評価方法の考案.................................................................................................................................p. 35
ファシリティ技術研究部門

2

布施 則一

Ⅱ．変電分野
1.

電力流通設備のアセットマネジメントへの外部診断の適用事例－シャントリアクトル
内の部分放電源の同定－............................................................................................p. 38
ファシリティ技術研究部門

2.

長寿命設備を想定した運用実績に基づく故障統計解析手法の検討...........................p. 41
ファシリティ技術研究部門

3.

髙橋 紹大

テレコン用の従来通信方式と IEC 61850 間の変換を担う通信アダプタの開発.........p. 44
ネットワーク技術研究部門

4.

宮嵜 悟

パウデル サロジュ

VSTL REV に基づく発変電所低圧制御回路のサージ解析技術の開発（その２）－金属
シース付制御線のモデル化手法の開発とその制御線誘導サージ解析への適用－.....p. 47
ファシリティ技術研究部門

5.

立松 明芳

レーザ誘起ブレイクダウン分光法を用いたナノコンポジット絶縁材料中のナノフィラ
ー分布評価法の開発－実規模試料に適用可能な評価法の提案－..............................p. 50
ファシリティ技術研究部門

三坂 英樹

Ⅲ．系統分野1.

電力系統の周波数安定性の維持に資する需要側インバータの制御方法に関する基礎検
討－系統負荷の電圧・周波数に対する自己制御性を模擬した有効電力制御－..........p. 53
ネットワーク技術研究部門

2.

佐藤 勇人

周波数変換所を活用した 50・60Hz 系統間の広域負荷周波数制御の実現に向けた効果検証.............................................................................................................................p. 56
ネットワーク技術研究部門

3.

徳光 啓太

インバータ主体系統における単独運転検出機能の不要動作に関する基礎検討－基幹系
統で三相地絡事故が発生した場合－..........................................................................p. 59
ネットワーク技術研究部門

4.

白崎 圭亮

電力系統のレジリエンス強化に資する緊急時の周波数制御に関する基礎検討（その 3）－再エネ脱落特性を考慮した負荷遮断方式の IEC 61850 による実現方法－...........p. 62
ネットワーク技術研究部門

5.

電源脱落時における地点毎の周波数変化率の高速概算法.........................................p. 65
ネットワーク技術研究部門

6.

上田 紀行
会田 峻介

EV 導入・活用時における系統負荷のモデリングに向けた EV 用充電器の特性把握.................................................................................................................................p. 68
ネットワーク技術研究部門

増田 宗紀

Ⅳ．配電分野1.

光学振動計測技術を用いた電柱の振動姿態の可視化.................................................p. 71
ファシリティ技術研究部門

3

高田 巡

2.

PV 余剰電力活用のための複数台の家庭用ヒートポンプ式給湯機の連携運転計画法の提案と評価..................................................................................................................p. 74
ENIC 研究部門

3.

石川 歩惟

電磁波を用いたコンクリート内の空隙計測（１）－コンクリート表面付近の空隙計測用モデルの提案－...........................................................................................................p. 77
ファシリティ技術研究部門

本田 匠

Ⅴ．情報通信分野
1.

IP 保護リレー情報に対する伝送経路の増強コスト最小化に向けた設計手法－マイクロ波無線通信網への適用と評価－.................................................................................p. 80
ネットワーク技術研究部門

田中 彰浩

Ⅵ．電化促進分野
1.

換気量の増加がエアコン冷暖房運転時の室内温熱環境とエアコンの消費電力に与える影響の評価..................................................................................................................p. 83
ENIC 研究部門

2.

安田 昇平

住宅のエネルギーに関するレジリエンス性向上のための調査－自然災害による長期停
電時の困りごとの把握－............................................................................................p. 86
ENIC 研究部門

3.

安岡 絢子

電気自動車の熱管理システムに関する研究開発－熱管理システムのコンセプトモデルの提案－......................................................................................................................p. 89
ENIC 研究部門

4.

張 莉

全国町丁字別の PV 導入量を考慮した地域レベルの電力需要カーブの推定手法の構築.................................................................................................................................p. 92
ENIC 研究部門

5.

上野 剛

人感センサを備えたエアコンの空気流制御機能が室内温熱環境へ及ぼす影響の把握.................................................................................................................................p. 95
ファシリティ技術研究部門

6.

上野 剛

建物内の多様な温熱環境を模擬可能な快適性試験室の開発 その 3 エアコン暖房環境の再現手法と妥当性の検証.........................................................................................p. 98
ENIC 研究部門

7.

宮永 俊之

EV アグリゲーションによる VPP 事業の可能性評価－九州 V2G 実証事業における当所の 3 か年成果－..........................................................................................................p. 101
ENIC 研究部門

4

高橋 雅仁

Ⅶ．水力発電分野
1.

水力発電機固定子巻線の保守点検への機械学習手法の導入に向けた基礎検討―固定子
巻線異常判定のためのデータベースの構築―..........................................................p. 104
ファシリティ技術研究部門

2021 年度掲載された学術論文
1.

倉石 隆志

p. 107－113

Direct Lightning Performance of Distribution Lines with Shield Wire Considering
LEMP Effect.......................................................ファシリティ技術研究部門 石本 和之

2.

直撃雷に対する高圧配電線雷事故率の総合評価—フラッシオーバおよび避雷器処理エ
ネルギーの評価プログラム—............................ファシリティ技術研究部門 石本 和之

3.

Melting and breaking characteristics of strands of high-strength and high-corrosionresistant OPGW due to DC arc discharge simulating high-energy lightning strike.............
............................................................................ファシリティ技術研究部門 岩田 幹正

4.

高エネルギー雷撃を模擬した直流アークによる高張力・高耐食 OPGW の素線溶断特性........................................................................ファシリティ技術研究部門 岩田 幹正

5.

Standoff Detection System Using Raman Spectroscopy in the Deep-Ultraviolet
Wavelength Region for the Detection of Hazardous Gas....................................................
...........................................................................ファシリティ技術研究部門 江藤 修三

6.

Alternative test method of internal arcing for replacing SF6 by air in SF6-insulated power
equipment..........................................................ファシリティ技術研究部門 神足 将司

7.

Energy fault detection for small buildings based on peer comparison of estimatedoperating status..................................................................... ENIC 研究部門 小松 秀徳

8.

電力系統のレジリエンス強化と脱炭素化の両立に資する再生可能エネルギー電源の脱落特性を考慮した緊急時周波数制御.................ネットワーク技術研究部門 佐藤 勇人

9.

Calculation of Internal Electric Fields Induced by Power Frequency Magnetic Fields
During Live-Line Working Using Human Models With Realistic Postures......................
...........................................................................ファシリティ技術研究部門 椎名 健雄

10. Blue Light Monochromatic Irradiation for 12 Hours in Lighting Pattern with
Combinations of Blue and Red Light Elongates Young Cos Lettuce Leaves and Promotes
Growth under High Daily Light Integral...............................ENIC 研究部門 地子 智浩
11. Cultivation of cos lettuce using blue LED and quantum dot wavelength conversion sheets...............................................................................................ENIC 研究部門 地子 智浩
12. Manipulation of Intraday Durations of Blue- and Red-Light Irradiation to Improve Cos
Lettuce Growth......................................................................ENIC 研究部門 地子 智浩

513. Time-varying Photosynthetic Photon Flux Density and Relative Spectral Photon Flux
Density Distribution to Improve Plant Growth and Morphology in Plant Factories with
Artificial Lighting...................................................................ENIC 研究部門 地子 智浩
14. Single-Conductor Transmission Line Model Incorporating Radiation Reaction.................
............................................................................ファシリティ技術研究部門 田代 大貴
15. Lightning Current Simulation of 66-kV Substation With Power Cables Using the ThreeDimensional FDTD Method..............................ファシリティ技術研究部門 立松 明芳
16. Three-Dimensional FDTD-Based Simulation of Induced Surges in Secondary Circuits
Owing to Primary-Circuit Surges in Substations.................................................................
............................................................................ファシリティ技術研究部門 立松 明芳
17. Development of a method for calculating the transmission-line constants of a threephase enclosure-type gas insulated bus taking the proximity effect into account.................
............................................................................ネットワーク技術研究部門 田中 洋平
18. 方形断面洞道に布設されたケーブルの線路定数計算手法の開発......................................
............................................................................ネットワーク技術研究部門 田中 洋平
19. Design and operation of energy systems with large amounts of variable generation............
............................................................................ネットワーク技術研究部門 田辺 隆也
20. Use of Voltage Stability Assessment and Transient Stability Assessment Tools in Grid
Operations..........................................................ネットワーク技術研究部門 田辺 隆也
21. 大電流のインパルスアークによる OPGW の溶損量の推定...............................................
............................................................................ファシリティ技術研究部門 中野 智之
22. IoT センサを用いた家庭内の行動観察..................................ENIC 研究部門 服部 俊一
23. 家庭用ヒートポンプ給湯機のエネルギー消費性能評価に関する研究（その 1）：各種試
験による性能データの取得および分析.................................ENIC 研究部門 藤縄 剛史
24. Millimeter wave imaging of underfilm corrosion using a monopole antenna equippedwith a semispherical silicon lens.........................ファシリティ技術研究部門 布施 則一
25. 油隙を有する油浸紙積層絶縁系における油分解ガスの発生様相―部分放電発生状況の違いによる様相変化―.......................................ファシリティ技術研究部門 牧野 裕太
26. Calibration Scheme of Impulse-High-Voltage Measuring System Traceable to National
Standards of Japan..................................................ファシリティ技術研究部門 宮嵜 悟
27. Detection of Winding Axial Displacement of a Real Transformer by Frequency Response
Analysis without Fingerprint Data.........................ファシリティ技術研究部門 宮嵜 悟
28. Long-Term Stability of Reference Measuring System for Impulse High Voltage................
...............................................................................ファシリティ技術研究部門 宮嵜 悟

6

29. Method of Evaluating Probability of Pressboard Failure in Power Transformer with
Disc-Type Winding Due to Electromagnetic Force by External Short Circuit.....................
...............................................................................ファシリティ技術研究部門 宮嵜 悟
30. 高圧配電線の構成が直撃雷による相間スパークオーバ発生率に与える影響....................
............................................................................ファシリティ技術研究部門 山口 宜大
31. Concept of Carbon-related Energy to Connect Energy Consumption with CO2
Emissions...............................................................................ENIC 研究部門 山本 博巳
32. Cost analysis of stable electric and hydrogen energy supplies derived from 100% variable
renewable resources systems..................................................ENIC 研究部門 山本 博巳
33. Development of a reversible transformer model for the calculation of inrush currents
energizing from higher and lower voltage windings.............................................................
............................................................................ネットワーク技術研究部門 米澤 力道
34. 低圧巻線側からの加圧にも対応した励磁突入電流解析用変圧器モデルの開発................
............................................................................ネットワーク技術研究部門 米澤 力道－補足事項－
本誌は 2021 年度に発行された報告書等の概要を取りまとめたものです。目次における所属は、本誌刊行時点(2022年8月)のものです。本文中の所属は報告書等の発行時点のものであるため、目次とは異なる場合があります。
グリッドイノベーション研究本部 研究統括室7⭉㣗࡟ᑐࡍࡿ㏦㟁⏝㕲ሪࡢ೺඲ᛶデ᩿ᢏ⾡㸫⭉㣗㔞᥎ᐃᡭἲ࠾ࡼࡧ᳨ᰝ࣭デ᩿ᢏ⾡ࡢಶูᶵ⬟࡜ලయ౛㸫ᇼ ᗣᙪ㸨㇂ ⣧୍㸨▼ᕝ ᬛᕬ㸨㊊❧ ࿴㑻㸨ᮒ∹⏣ ၿ἞㸨 బ⸨ 㞝ு㸨▼㔝 㝯୍㸨㡲⸨ ோ㸨᭹㒊 ᗣ⏨㸨኱ཎ ಙ㸨㛗἟ ῟㸨ᕸ᪋ ๎୍㸨⚟෠ ᗈᖾ㸨 ኱▼ ♸Ⴙ㸨
Key Words㸸Transmission tower
MaintenanceAtmospheric corrosion
Inspection
Social infrastructure࣮࣮࢟࣡ࢻ㸸㏦㟁⏝㕲ሪ
⥔ᣢ⟶⌮
኱Ẽ⭉㣗
Ⅼ᳨
♫఍࢖ࣥࣇࣛ

Soundness Assessment Technologies for Corrosion in Aged Transmission Towers–Individual Features and The Operation Results of Corrosion Amount Evaluation
as well as Inspection and Diagnosis–
Yasuhiko Hori, Junichi Tani, Tomomi Ishikawa, Kazuo Adachi, Yoshiharu Shumuta,
Yusuke Sato, Ryuichi Ishino, Yasuo Hattori, Shin Ohara, Hitoshi Suto,
Atsushi Naganuma, Norikazu Fuse, Hiroyuki Fukutomi and Yuji Oishi
Abstract
Transmission towers built during the years of Japan's high economic growth have gradually aged over the years, and thesestructures now require the standardization of their efficient repair and rebuild. CRIEPI has embarked a research program tocontribute the streamlining of the maintenance for the aged transmission towers, under the cooperation of all Japanese electric
power companies. Elemental information and technologies were consolidated in the program's first stage that was conductedfrom 2012 to 2014. The second stage of the program has built the evaluation methods by combining the elemental technologies.
The methods constructed and developed are to estimate the corrosion amount, as well as to conduct inspection anddiagnosis for transmission towers. This report shows the individual features of the methods and how they actually operate
against social infrastructure and field data obtained.
*1㟁ຊᢏ⾡◊✲ᡤ Ẽయ⤯⦕࣭ᨺ㟁⌧㇟㡿ᇦ ୖᖍ◊✲ဨᮦᩱ⛉Ꮫ◊✲ᡤ ୖᖍ◊✲ဨ*3 ᆅ⌫ᕤᏛ◊✲ᡤ ๪◊✲ཧ஦*4 㟁ຊᢏ⾡◊✲ᡤ ୖᖍ◊✲ဨ*5 ᆅ⌫ᕤᏛ◊✲ᡤ ᵓ㐀ᕤᏛ㡿ᇦ ๪◊✲ཧ஦*6 ᆅ⌫ᕤᏛ◊✲ᡤ ᵓ㐀ᕤᏛ㡿ᇦ ୺௵◊✲ဨ*7 ࢚ࢿࣝࢠ࣮࢖ࣀ࣮࣋ࢩࣙࣥ๰Ⓨࢭࣥࢱ࣮ ࢹࢪࢱࣝࢺࣛࣥࢫࣇ࢛࣮࣓࣮ࢩࣙࣥࣘࢽࢵࢺ ୖᖍ◊✲ဨ*8 ᆅ⌫ᕤᏛ◊✲ᡤ ὶయ⛉Ꮫ㡿ᇦ ୖᖍ◊✲ဨ*9 ⎔ቃ⛉Ꮫ◊✲ᡤ ኱Ẽ࣭ᾏὒ⎔ቃ㡿ᇦ ୺௵◊✲ဨ*10 ᮦᩱ⛉Ꮫ◊✲ᡤ 㟁Ẽ໬Ꮫ㡿ᇦ ୺௵◊✲ဨ*11 㟁ຊᢏ⾡◊✲ᡤ ᅛయ⤯⦕࣭ຎ໬⌧㇟㡿ᇦ ୺௵◊✲ဨ*12 ᮦᩱ⛉Ꮫ◊✲ᡤ ᵓ㐀ᮦᩱ㡿ᇦ ୖᖍ◊✲ဨ
*2©CRIEPI8⫼  ᬒ㧗ᗘ⤒῭ᡂ㛗ᮇ࡟㞟୰ⓗ࡟ᩚഛࡉࢀࡓᶫᱱ࡞࡝ࡢ♫఍࢖ࣥࣇࣛࡢ⪁ᮙ໬ࡀ඲ᅜⓗ࡟῝้࡞ၥ㢟࡜࡞ࡗ࡚࠸ࡿࠋ୍᪉ࠊ㟁ຊタഛࠊ≉࡟ᯫ✵㏦㟁タഛ࡟ࡘ࠸࡚ࡶࠊ኱㔞࡟ᘓタ
ࡉࢀࡓ㏦㟁⏝㕲ሪࡀࠊ2020 ᖺ௦࡟ࡣ⣙༙ᩘࡀ⤒ᖺ 50 ᖺࢆ㉸࠼ࡿࡇ࡜࡜࡞ࡾࠊ⤒ᖺ࡟ࡼࡿ⭉㣗ຎ໬࡬ࡢᑐ⟇ࡀ୍ᒙ㔜せ࡜࡞ࡗ࡚ࡁ࡚࠸ࡿࠋࡇࡢࡼ࠺࡞≧ἣࡢ୰ࠊ୍⯡㏦㓄㟁஦ᴗ⪅࠾ࡼࡧ㟁※㛤Ⓨ㏦ኚ㟁ࢿࢵࢺ࣮࣡ࢡᰴᘧ఍♫࡛ࡣࠊタഛᐇែࡸ❧ᆅ⎔ቃ࡟ᛂࡌࡓ⥔ᣢ⟶⌮ࣇ࣮ࣟࢆᐃࡵࠊຠ⋡ⓗ࡞⟶⌮ࡀ㐍ࡵࡽࢀ࡚࠾ࡾࠊಖ඲ᐇົࢆᨭ᥼ࡋ୍ᒙࡢ┬ຊ໬ࢆᐇ⌧࡛ࡁࡿಖᏲⅬ᳨ᢏ⾡ࡀᮃࡲࢀ࡚࠸ࡿࠋࡇࢀࡽࢆ㋃ࡲ࠼ࠊᙜᡤ࡛ࡣ 2012 ᖺᗘࡼࡾ⭉㣗ຎ໬ࡢほⅬ࡟╔┠ࡋ࡚㕲ሪࡢ೺඲ᛶデ᩿ᢏ⾡࡟㛵ࡍࡿ◊✲࡟╔ᡭࡋࠊ⭉㣗㔞᥎ᐃᡭἲ࠾ࡼࡧ᳨ᰝ࣭デ᩿ᢏ⾡࡞࡝ࡢಶูᢏ⾡ࢆᵓ⠏࣭㛤Ⓨࡋࡓ*1)ࠋ

┠  ⓗ㏦㟁⏝㕲ሪࢆᑐ㇟࡜ࡋ࡚ࠊ⭉㣗࡟ᑐࡍࡿಖ඲ࡢࡓࡵ࡟ᵓ⠏࣭㛤Ⓨࡋࡓ⭉㣗㔞᥎ᐃᡭἲ࠾ࡼࡧ᳨ᰝ࣭デ᩿ᢏ⾡࡟ࡘ࠸࡚ࠊࡑࢀࡒࢀࡢᢏ⾡ࡀ᭷ࡍࡿᶵ⬟ࢆ♧ࡍ࡜࡜ࡶ࡟ࠊ㏻ಙ
⏝㕲ሪ࡞࡝ࡢ♫఍࢖ࣥࣇ࡛ࣛࡢᙜヱᢏ⾡ࡢά⏝࡟ྥࡅ࡚ලయ౛ࢆᥦ౪ࡍࡿࠋ

୺࡞ᡂᯝ㸯㸬⭉㣗࡟ᑐࡍࡿ೺඲ᛶホ౯࡟㈨ࡍࡿಶูᢏ⾡ࡢᶵ⬟㕲ሪࢆᑐ㇟࡟㛤Ⓨࡋࡓ೺඲ᛶデ᩿ᢏ⾡ࡢಶูᶵ⬟ࢆᅗ 1 ࡟♧ࡍࠋ⭉㣗㔞᥎ᐃᡭἲࡣࠊ
㠃ⓗ࡟ᗈࡀࡾࢆࡶࡗ࡚タ⨨ࡉࢀ࡚࠸ࡿ㕲ሪࡢ୰࠿ࡽࠊせⅬ᳨㕲ሪ࣭せⅬ᳨㒊఩ࢆᢳฟࡍ
ࡿᶵ⬟ࢆ᭷ࡍࡿࠋ㛤Ⓨࡋࡓ᳨ᰝᢏ⾡ࡣࠊᢳฟࡋࡓせⅬ᳨㕲ሪ࣭せⅬ᳨㒊఩ࡢ㒊ᮦࡢῶ⫗㒊఩࣭ᙧ≧ࡢ᳨ฟ࠾ࡼࡧຎ໬ᗘྜ࠸ホ౯ࢆ⾜࠺ᶵ⬟ࢆࠊࡉࡽ࡟ࠊ㛤Ⓨࡋࡓデ᩿ᢏ⾡࡜ࡋ࡚ࡢ⪏Ⲵຊホ౯ἲࡣࠊ㒊ᮦ࡜ࡋ࡚ࡢᛶ⬟㸦వᑑ࿨㸧ࢆᢕᥱࡍࡿᶵ⬟ࢆ᭷ࡍࡿࠋ
㸰㸬♫఍࢖ࣥࣇ࡛ࣛࡢά⏝࡟ྥࡅ࡚ࡢලయ౛
࣭ᗈ⠊ᅖ࡟ᘓタࡉࢀࡓ࢖ࣥࣇࣛࡢⅬ᳨ඃඛᗘࡢホ౯࡟࠾࠸࡚ࠊಶࠎࡢ⭉㣗ィ ࡛ࡣᗈ⠊ᅖ࡞⎔ቃࡢ㐪࠸ࢆྵࡵࡓ᳨ウࡣᐜ࡛᫆ࡣ࡞࠸ࠋᮏ⭉㣗㔞᥎ᐃᡭἲ࡛ࡣࠊᗈ⠊ᅖ࡞⎔ቃࢆィ⟬࡛ࡁࡿᩘ್ゎᯒ*2)࡟ࡼࡾࠊ౛࠼ࡤᑐ㇟࢚ࣜ࢔ࡢ㕲㗰ࡢ⭉㣗࣐ࢵࣉ㸦ᅗ 2(a)㸧
ࢆసᡂྍ⬟࡛࠶ࡿࠋᙜヱ࣐ࢵࣉࡣࠊᗈ⠊ᅖ࡟ከᩘタ⨨ࡉࢀ࡚࠸ࡿ㕲ሪࡢ୰࠿ࡽせⅬ᳨㕲ሪࡀᢳฟ࡛ࡁࠊⅬ᳨ࡢඃඛᗘ᳨ウ࡟㈨ࡍࡿ᝟ሗ࡜࡞ࡿࠋ
᳨࣭ᰝ࣭デ᩿ᢏ⾡ࡢ୍౛࡜ࡋ࡚ࠊᅗ 2(b)ࡢ෗┿࡟ࡼࡿຎ໬ࣛࣥࢡࢩࢫࢸ࣒࡛ࡣࠊ✵᧜⏬
ീࢆゎᯒࡍࡿࡇ࡜࡛┦ᑐⓗ࡞Ⅼ᳨ࡢඃඛᗘ᳨ウ࡟㈨ࡍࡿ᝟ሗࡀᚓࡽࢀࡿ࡜࡜ࡶ࡟ࠊ
ᙜヱ࢖ࣥࣇ࡛ࣛࡢせⅬ᳨㒊఩ࢆᢳฟࡋሬ⿦࡞࡝ࡢ⿵ಟࡢඃඛᗘ᳨ウ࡟ࡶά⏝࡛ࡁࡿࠋࡇࢀࡽಶูᢏ⾡ࡲࡓࡣࡇࢀࡽࢆ⤌ࡳྜࢃࡏࡓ୍㐃ࡢ೺඲ᛶデ᩿࡟ࡼࡾࠊ♫఍࢖ࣥࣇࣛࡢሬ⿦࡟ࡼࡿ⿵ಟุ᩿ࠊ㒊ᮦࡢ஺᥮➼ࡢಖᏲィ⏬⟇ᐃ࣭᭦᪂ุ᩿࡟ά⏝ྍ⬟࡛࠶ࡿࠋ
ࠕ㏦㟁⏝㕲ሪࡢ⭉㣗➼࡟ᑐࡍࡿ೺඲ᛶホ౯ᢏ⾡࡟㛵ࡍࡿ◊✲̿➨ϩᮇ㸦2015-2018㸧ࡢᡂᯝ㸫ࠖ㟁ຊ୰ኸ◊✲*1) ᇼ௚㸪ᡤሗ࿌ H18009㸪2019.
*2) CRIEPI-RCM-Era2㸦㏻⛠㸸NuWFAS 㛗ᮇ㧗ゎീᗘẼ㇟෌ゎᯒࢹ࣮ࢱ㸧ࠊ㢼ἣ࣭ᾏሷ⢏Ꮚ㍺㏦ゎᯒࢥ࣮ࢻ NuWiCCSTࠊ࡞࡝ࢆ౑⏝©CRIEPI9ᅗ  ೺඲ᛶデ᩿ᢏ⾡ࡢಶูᶵ⬟

E ຎ໬ࣛࣥࢡุᐃࢩࢫࢸ࣒࡟ࡼࡿ⤖ᯝD ⭉㣗ホ౯ᡭἲ࡟ࡼࡿ㕲㗰ࡢ⭉㣗࣐ࢵࣉຎ໬ࣛࣥࢡุᐃ⤖ᯝ⥳㒊࠾ࡼࡧ㉥㒊ࡀ⭉㣗⟠ᡤࢆ⾲ࡋ࡚࠾ࡾࠊ㉥㒊ࡀ᭱ࡶ⭉㣗ࡋ࡚࠸ࡿࠋ⅊Ⰽ㒊ࡣ⭉㣗࡞ࡋ㸧ᅗ  ೺඲ᛶデ᩿ᢏ⾡ࡢά⏝࡟ྥࡅ࡚ྛᶵ⬟ࢆ♧ࡍලయ౛  㛵㐃ሗ࿌᭩㸸
[1] N24ࠕ㏦㟁⏝㕲ሪࡢ⭉㣗➼࡟ᑐࡍࡿ೺඲ᛶホ౯ᢏ⾡࡟㛵ࡍࡿ◊✲̿➨Ϩᮇ㸦2012-2014㸧ࡢᡂᯝ㸫ࠖ(2016.10)[2] H18009ࠕ㏦㟁⏝㕲ሪࡢ⭉㣗➼࡟ᑐࡍࡿ೺඲ᛶホ౯ᢏ⾡࡟㛵ࡍࡿ◊✲̿➨ϩᮇ㸦2015-2018㸧ࡢᡂᯝ㸫ࠖ
㸦2019.6㸧

©CRIEPI10ᮍሬ⿦ࡢ㏦㟁⏝㕲ሪࢆᑐ㇟࡜ࡋࡓ✵᧜⏬ീࢆ⏝࠸ࡓຎ໬ࣛࣥࢡ
⮬ືุᐃࢩࢫࢸ࣒ࡢ㛤Ⓨ▼㔝 㝯୍㸨

Key Words㸸Transmission Tower
Rust
Image Processing
Deep Learning࣮࣮࢟࣡ࢻ㸸㏦㟁⏝㕲ሪ
㗵
⏬ീฎ⌮
῝ᒙᏛ⩦

Automatic Decision System of Deteriorating Level for Galvanized Transmission
Tower Using Aerial Image
Ryuichi Ishino

Abstract
We are trying to develop support tool using an aerial image of a transmission tower for decision of deteriorating level
for the tower. The support tool judges which a deteriorating rank of a tower each pixel on the aerial image of the tower
belongs. The support tool was not an automatic system because extraction of a tower image by hands was needed before
the judgment. Using deep learning techniques, we have achieved automatic extraction of a tower in an aerial image. The
support tool can extract 99.5% pixels on towers. Due to development of automatic tower extraction routine, the support tool
can automatically judge deteriorating level for towers.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୖᖍ◊✲ဨ

©CRIEPI11⫼  ᬒ
୍⯡㏦㓄㟁஦ᴗ⪅࠾ࡼࡧ኱ᡭ㏦㟁஦ᴗ⪅࡛ࡣ㏦㟁⏝㕲ሪࡢ᭦᪂᫬ᮇᘏఙࡢࡓࡵࠊ⭾኱࡞ᩘࡢ㕲ሪࡢ୰࠿ࡽ㗵ࡢ㐍⾜ᗘྜ࠸ࡀ኱ࡁ࠸㕲ሪࢆᑐ㇟࡜ࡋ㜵㗵ሬ⿦ὀ 1)ࢆ⾜ࡗ࡚࠸ࡿࠋ
㗵ࡢ㐍⾜ᗘྜ࠸ࡣࠊ᪼ሪࡋ࡚᧜ᙳࡋࡓ㗰ᮦࡢⰍྜ࠸ุ࡛ᐃࡍࡿࡇ࡜ࡀከ࠸ࡀࠊࡑࡢุᐃ
ࡀಶேࡢ୺ほ࡟౫Ꮡࡍࡿ࡜࠸࠺ㄢ㢟ࡀ࠶ࡿࠋࡑࡇ࡛ࠊ࣊ࣜࢥࣉࢱ࣮➼࡛✵᧜ࡋࡓ⏬ീ࡟
ICT ࢆ㐺⏝ࡋ࡚ࠊ㕲ሪࡢ⡆᫆ຎ໬ࣛࣥࢡࢆุᐃࡍࡿࡓࡵࡢᨭ᥼ࢶ࣮ࣝࡢ㛤Ⓨࢆ㐍ࡵ࡚࠸ࡿࠋࡇࢀࡲ࡛࡟ࠊุᐃࡍࡿ㕲ሪ࡟ᑐᛂࡍࡿ 3D ᵓ㐀ࣔࢹࣝࢆ⏝ពࡋࠊ࣐࢘ࢫ᧯స࡟ࡼࡗ
࡚㕲ሪ㒊ᮦࢆᢳฟᚋࠊᶵᲔᏛ⩦ὀ 2)࡟ࡼࡾุᐃࡍࡿࣉࣟࢺࢱ࢖ࣉࢆ㛤Ⓨࡋ࡚࠸ࡿ[1ࠊ2]ࠋ
ᐇᴗົ࡛ࡣ኱㔞ࡢ✵᧜⏬ീࡀ⵳✚ࡉࢀࡿࡓࡵࠊ኱㔞ࡢ✵᧜⏬ീࢆฎ⌮ࡍࡿ࡟ࡣࠊ✵᧜⏬
ീ࠿ࡽ㕲ሪ㒊ᮦࡢ⮬ືᢳฟࡀᚲせ࡛࠶ࡿࠋ┠  ⓗᮍሬ⿦ࡢ㏦㟁⏝㕲ሪࢆᑐ㇟࡟῝ᒙᏛ⩦ࢆ฼⏝ࡋࡓ㕲ሪ㒊ᮦࡢ⮬ືᢳฟᡭἲࢆ㛤Ⓨࡍࡿ࡜࡜ࡶ࡟ࠊຎ໬ࣛࣥࢡุᐃࡢ⮬ື໬ࢆᐇ⌧ࡍࡿࠋ୺࡞ᡂᯝ ῝ᒙᏛ⩦ࢆ฼⏝ࡋࡓ㕲ሪ㒊ᮦࡢ⮬ືᢳฟᐇ㝿ࡢຎ໬デ᩿⏝࡜ࡋ࡚᧜ᙳࡉࢀࡓ㕲ሪࢆྵࡴ⏬ീ࠿ࡽ㕲ሪ㒊ᮦࢆᢳฟࡍࡿࡓࡵ࡟ࠊ῝ᒙᏛ⩦ࢆᐇ᪋ࡋࡓࠋ῝ᒙᏛ⩦ࡉࡏࡿࢹ࣮ࢱ࡜ࡋ࡚ࠊ㸯ࡘࡢ㕲ሪ࡟ᑐࡋ࡚ࠊ㕲ሪ඲యࢆ㸯ࡘࡢ⏬ീ࡜ࡋࡓሙྜ࡜㸯ࡘࡢ㕲ሪࢆศ๭ࡋ࡚」ᩘᯛࡢ⏬ീ࡜ࡋࡓሙྜࢆẚ㍑ࡋࡓὀ 3)ࠋ
ࡑࡢ⤖ᯝࠊ」ᩘᯛࡢ⏬ീࢆ⏝࠸ࡓሙྜࡣࠊ」ᩘᯛ⏬ീ㛫ࡢ㛵ಀᛶࡢᏛ⩦ࡀ㞴ࡋࡃࠊ1 ࡘࡢ⏬ീ࡛Ꮫ⩦ࡍࡿ᪉ࡀⰋ࠸ࡇ࡜ࡀࢃ࠿ࡗࡓ㸦ᅗ 1㸧ࠋࡲࡓࠊᏛ⩦࡟౑࠺⏬⣲ᩘࡢ኱ࡁ࠸
᪉ࡀࠊ㕲ሪࡢ㦵⤌ࡳࡢ᝟ሗࡀḞⴠࡋ࡟ࡃࡃ࡞ࡿࠋࡑࡇ࡛ࠊ⏬⣲ᩘࡢ኱ࡁ࡞㕲ሪ඲యࡢᫎ
ࡗࡓ⏬ീࢆ౑ࡗ࡚Ꮫ⩦ࡉࡏࡿࡇ࡜࡟ࡼࡾࠊ㕲ሪࡢ⏬⣲ࢆ࡯ࡰ඲࡚(99.5%)ᢳฟ࡛ࡁࡓ(⾲1)ࠋ
 ⡆᫆ຎ໬ࣛࣥࢡุᐃࡢ⮬ື໬ࢩࢫࢸ࣒ࡢᐇ⌧㕲ሪ㒊ᮦࡢ⮬ືᢳฟࢆ⤌ࡳ㎸ࡳࠊᮍሬ⿦ࡢ㏦㟁⏝㕲ሪࢆᑐ㇟࡜ࡋࡓ✵᧜⏬ീࢆ⏝࠸ࡓຎ໬ࣛࣥࢡ⮬ືุᐃࢩࢫࢸ࣒ࢆ㛤Ⓨࡋࡓࠋᮏࢩࢫࢸ࣒ࡣࠊ᪤㛤Ⓨࡢࣉࣟࢺࢱ࢖ࣉ࡛ᚲせ࡛࠶ࡗࡓ࣐࢘ࢫ᧯సࢆ୙せ࡜ࡋࡓࡓࡵࠊ✵᧜⏬ീࢆᡤᐃࡢࣇ࢛ࣝࢲ࣮࡟ಖᏑࡍࡿ࡜ࠊ㕲ሪ㒊ᮦࢆᢳฟࡋࠊຎ໬ࣛࣥࢡุᐃࡲ࡛ࢆ⮬ື࡛⾜࠺ࡇ࡜ࡀ࡛ࡁࡿ㸦ᅗ㸰㸧
ࠋ
ὀ㸧
ὀ㸧
ὀ㸧

㕲ሪࡣᘓタ᫬࡟ࡣᮍሬ⿦࡛࠶ࡿࡇ࡜ࡀከࡃࠊᘓタ࠿ࡽ㛗࠸ᖺ᭶ࡀ⤒㐣ࡍࡿ࡜ࠊ㜵㗵ሬ⿦ࢆᚲせ࡜ࡍࡿ㕲ሪࡀቑ࠼࡚࠸ࡃࡓࡵࠊᮏሗ࿌࡛ࡣᮍሬ⿦㕲ሪࢆᑐ㇟࡜ࡋ࡚࠸ࡿࠋ
✀㢮ࡢ␗࡞ࡿࡶࡢࢆ༊ูࡍࡿࡓࡵࡢቃ⏺⥺ࢆࠊ༊ูࡢ㞴ࡋ࠸ࢹ࣮ࢱ㛫ࡢ㊥㞳ࡀ᭱኱࡟࡞ࡿࡼ࠺࡟ồࡵࡿᡭἲࠋ
࣊ࣜࢥࣉࢱ࣮➼࡟ࡼࡿ✵᧜⏬ീ࡟ࡣࠊศ๭ࡋ࡚᧜ᙳࡋࡓሙྜ࡜඲యࢆ᧜ᙳࡋࡓሙྜࡀ࠶ࡿࡓࡵࠊ୧⪅ࢆẚ㍑
ࡍࡿࡇ࡜࡜ࡋࡓࠋ

©CRIEPI12

D ศ๭⏬ീ౛E 㕲ሪ඲య

F ศ๭⏬ീ࡛Ꮫ⩦G 㕲ሪ඲య࡛Ꮫ⩦ᅗ Ꮫ⩦ࢹ࣮ࢱࡢ⏬ീ౛࡜ᢳฟ⤖ᯝ౛⾲  㕲ሪ඲య࡛Ꮫ⩦ࡉࡏࡓሙྜࡢ⏬⣲ᩘࡢ኱ᑠ࡟ࡼࡿᢳฟ⤖ᯝṇゎ⋡㸸඲⏬⣲࡟ᑐࡋ࡚ṇࡋࡃ⏬⣲ุᐃ࡛ࡁࡓ๭ྜ ෌⌧⋡㸸㕲ሪ඲⏬⣲ࡢ࠺ࡕᢳฟ࡛ࡁࡓ⏬⣲ࡢ๭ྜᅗ  ✵᧜⏬ീࢆ⏝࠸ࡓ⡆᫆ຎ໬ࣛࣥࢡ⮬ືุᐃࢩࢫࢸ࣒ᐇ⾜౛࡜ฎ⌮ࡢὶࢀ㛵㐃ሗ࿌᭩㸸
[1]C16009ࠕሬ⿦ࡍ࡭ࡁ⤒ᖺ㕲ሪࡢ㑅ᐃ࡟ᙺ❧ࡘ⏬ീฎ⌮ᢏ⾡ࡢ㛤Ⓨ㸫✵᧜⏬ീ࠿ࡽࡢ㕲ሪᢳฟᡭἲࡢ㛤Ⓨ㸫ࠖ㸦2017.06㸧
[2]C17013ࠕሬ⿦ࡍ࡭ࡁ⤒ᖺ㕲ሪࡢ㑅ᐃ࡟ᙺ❧ࡘ⏬ീฎ⌮ᢏ⾡ࡢ㛤Ⓨ㸫✵᧜⏬ീࢆ౑ࡗࡓ⡆᫆ຎ໬ุᐃࡢࡓࡵࡢᨭ᥼ࢶ࣮ࣝࡢࣉࣟࢺ
ࢱ࢖ࣉࡢ㛤Ⓨ㸫ࠖ㸦2018.06㸧

©CRIEPI13

㏦㟁⥺⪏㞾タィ࢞࢖ࢻ㸦2022 ᖺᨵゞ∧㸧㞾ࣜࢫࢡㄪᰝ◊✲ጤဨ఍ ㏦㟁㞾ࣜࢫࢡศ⛉఍

Key Words㸸Lightning
Lightning protection
Transmission line
Insulation co-ordination
Lightning surge࣮࣮࢟࣡ࢻ㸸㞾
⪏㞾
㏦㟁⥺
⤯⦕༠ㄪ
㞾ࢧ࣮ࢪ

Guide to Lightning Protection Design for Transmission Lines (revised in 2022)
Subcommittee for Transmission Lines,
Study Committee on Lightning Risk

Abstract
As basic references for lightning protection design for transmission lines, "Design Practices of Transmission Lines toPrevent Lightning Faults (published in 1971)", "Lightning Proof Design Guide-book for Transmission Lines (published in1976)" and "Guide to Lightning Protection Design for Transmission Lines (published in 2003)" have been widely used byelectric power utilities. However, almost twenty years has passed since these three references were published. To reflect
the technical progress since their publication and to merge these three references, the updated guide has been released. The
guide consists of nine chapters and two appendixes as follows:
Chapter 1:

Introduction

Chapter 2:

Lightning phenomena

Chapter 3:

Lightning performance of transmission lines

Chapter 4:

Estimation method of lightning outage rates on transmission lines

Chapter 5:

Various lightning protection methods

Chapter 6:

Lightning protection design and countermeasure for transmission lines

Chapter 7:

Analysis of lightning outage for transmission lines

Chapter 8:

Lightning protection design for power stations, substations, and underground transmission lines

Chapter 9:

Introduction of lightning protection design concepts of the IEEE and the CIGRE

Appendix A:

Index of technical terms

Appendix B:

Cumulative frequency distribution of lightning current amplitude©CRIEPI
14⫼  ᬒࡇࢀࡲ࡛ࢃࡀᅜࡢᯫ✵㏦㟁⥺ࡢ⪏㞾タィࡣ㸪㟁ຊ୰ኸ◊✲ᡤ 㞾ࣜࢫࢡㄪᰝ◊✲ጤဨ఍㏦
㟁㞾ࣜࢫࢡศ⛉఍ࡢ๓㌟ࡢጤဨ఍࡟᳨࡚ウࡉࢀ㸪⪏㞾タィࡢᐇ⏝᭩࡜ࡋ࡚ࠕ㏦㟁⥺⪏㞾タィᇶ‽せ⥘㸦1971ᖺⓎห㸧[1]ࠖ㸪
ࠕ㏦㟁⥺⪏㞾タィ࢞࢖ࢻࣈࢵࢡ㸦1976ᖺⓎห㸧[2]ࠖ
㸪ࠕ㏦㟁⥺⪏㞾タィ࢞࢖ࢻ㸦2003ᖺⓎห㸧[3]ࠖࡢ୕㒊ࡢ࢞࢖ࢻࡀⓎหࡉࢀ࡚ࡁࡓࠋࡋ࠿ࡋ㸪๓ሗ
ࡢⓎห࠿ࡽ㛫ࡶ࡞ࡃ20ᖺࡀ⤒㐣ࡋ㸪㞾⌧㇟ࡸ⪏㞾タィ࡟㛵ࡍࡿ᭱᪂▱ぢࡢ཯ᫎࡀᚲせ࡞ࡇ࡜㸪୕㒊ࡢ᪤ห࢞࢖ࢻ࡟⪏㞾タィࡢᢏ⾡ⓗグ㏙ࡀศᩓࡋ࡚࠾ࡾෆᐜࡢᢕᥱࡀ↹㞧࡞ࡇ࡜࠿ࡽ㸪࢞࢖ࢻࡢᨵゞࡀᮃࡲࢀ࡚࠸ࡓࠋ┠  ⓗ㏦㟁⥺⪏㞾タィ࡟㛵ࢃࡿᢏ⾡ࡢ㐍Ṍࢆྲྀࡾධࢀࡿ࡜࡜ࡶ࡟㸪୕㒊ࡢ᪤ห࢞࢖ࢻࡢෆᐜ
ࢆ⤫ྜࡋࡓࠕ㏦㟁⥺⪏㞾タィ࢞࢖ࢻ㸦2022 ᖺᨵゞ∧㸧ࠖࢆྲྀࡾࡲ࡜ࡵࡿࠋ

୺࡞ᡂᯝᮏ࢞࢖ࢻࡢᵓᡂ࡜ᴫせࢆ⾲ 1 ࡟♧ࡍࠋᮏ࢞࢖ࢻࡢ୺࡞ෆᐜࡣ௨ୗࡢ㏻ࡾ࡛࠶ࡿࠋ 㞾⌧㇟࡟ࡘ࠸࡚ྲྀࡾࡲ࡜ࡵࡿ࡜࡜ࡶ࡟㸪㏦㟁⥺⪏㞾タィ࡟ᚲせ࡞㞾㟁ὶἼᙧࡢ㞾ࣃ࣓࣮ࣛࢱ࡟ࡘ࠸࡚㏆ᖺࡢ㞾ほ ⤖ᯝࢆྲྀࡾ㎸ࢇ࡛ᩚ⌮ࡋࡓࠋࡲࡓ㸪⪏㞾タィࡸಖᏲ࡟ࡶά⏝ࡉࢀࡿⴠ㞾఩⨨ᶆᐃࢩࢫࢸ࣒LLS ὀ1㸧࡟ࡘ࠸࡚⌧⾜ࢩࢫࢸ࣒ࡢゎㄝࢆ᭦᪂ࡋ㸪᪂ᆺ LLS㸸LENTRAὀ2㸧ࡢ㛤Ⓨືྥ࡟ࡘ࠸࡚ࡶྲྀࡾࡲ࡜ࡵࡓ㸦➨ 2 ❶㸧ࠋ
 1980ᖺᗘ㹼2020ᖺᗘࡲ࡛ࡢ41࢝ᖺࡢ㞾஦ᨾᐇ⦼ࢆㄪᰝࡋ㸪㏦㟁⥺ࡢ㞾஦ᨾᵝ┦ࢆᢕᥱࡍࡿ࡜࡜ࡶ࡟㸪㞾஦ᨾ࡜෌㛢㊰᪉ᘧࡢ㛵ಀ࡟ࡘ࠸࡚ྲྀࡾࡲ࡜ࡵࡓ㸦➨ 3 ❶㸧ࠋ 㞾஦ᨾࡢⓎ⏕࡟ࡘ࠸࡚㸪㞾㐣㟁ᅽࡢศ㢮ࡸ౵ධ⤒㊰࡞࡝ࡢᇶ♏ⓗ࡞ㄝ᫂ࢆ᪂ࡓ࡟グ㍕
ࡋ㸪㏫ࣇࣛࢵࢩ࣮࢜ࣂ࡜㞾㐽ⶸኻᩋࡢゎㄝࢆᩚ⌮ࡋࡓࠋ㞾㐽ⶸ࡟ࡘ࠸࡚ࡣ᭱᪂ࡢྛ
✀ࣔࢹࣝࢆ⤂௓ࡋࡓࠋࡲࡓ㸪㟁ຊ୰ኸ◊✲ᡤ࡛㛤Ⓨࡀ㐍ࡵࡽࢀ࡚ࡁࡓ㏦㟁⥺㞾஦ᨾ⋡ண ィ⟬ࣉࣟࢢ࣒ࣛ LORPὀ3㸧ࢆࡶ࡜࡟㞾஦ᨾ⋡ィ⟬ᡭἲ࡟ࡘ࠸࡚ゎㄝࡋࡓ㸦➨ 4❶㸧ࠋ ྛ✀ࡢ㞾஦ᨾపῶ⟇࡜ࡋ࡚㸪ᯫ✵ᆅ⥺ࡢከ᮲໬㸪୙ᖹ⾮⤯⦕ࡢ᥇⏝㸪ሪ⬮᥋ᆅ᢬ᢠࡢ
పῶ㸪㏦㟁⏝㑊㞾⿦⨨ࡢ㐺⏝ᐇ⦼࡜ຠᯝ࡞࡝࡟ࡘ࠸࡚グ㍕ࡋࡓ㸦➨ 5 ❶㸧ࠋ ᯫ✵㏦㟁タഛࡢ⪏㞾タィ࡜ࡋ࡚㸪㟁ຊ⥺࠾ࡼࡧᯫ✵ᆅ⥺ࡢ⁐᩿≉ᛶࡸ࢔࣮ࢡ࣮࣍ࣥࡢ
タィ㸪㏦㟁⥺ࡢタഛ⿕ᐖࡢഴྥ࡜ศᯒ࡟ࡘ࠸࡚グ㍕ࡍࡿ࡜࡜ࡶ࡟㸪タഛࡢ⿵ಟ᪉ἲ
࡜ຠᯝ࡟ࡘ࠸࡚ྲྀࡾࡲ࡜ࡵࡓ㸦➨ 6 ❶㸧ࠋ 㞾஦ᨾᵝ┦ࡢゎᯒᡭἲ࡜ࡋ࡚㸪EMTP ὀ4㸧/XTAP ὀ5㸧࡟ࡼࡿᅇ㊰ゎᯒ࡟ࡘ࠸࡚グ㍕ࡍ
ࡿ࡜࡜ࡶ࡟㸪㏆ᖺ㛤Ⓨࡀ㐍ࢇ࡛࠸ࡿᩘ್㟁☢⏺ゎᯒ࡟ᇶ࡙ࡃ VSTL REVὀ6㸧࡟ࡼࡿ 3ḟඖࡢ㞾ࢧ࣮ࢪゎᯒᡭἲ࡟ࡘ࠸࡚ࡶ⤂௓ࡋࡓ㸦➨ 7 ❶㸧ࠋ
 Ⓨኚ㟁ᡤࡸᆅ୰㏦㟁⥺࡜ࡢ༠ㄪ࡟ࡘ࠸࡚㸪ࠕⓎኚ㟁ᡤཬࡧᆅ୰㏦㟁⥺ࡢ⪏㞾タィ࢞࢖
©CRIEPI15

ࢻ㸦2021 ᖺᨵゞ∧㸧
ࠖ࠿ࡽ㏦㟁⥺タィ⪅࡟ᚲせ࡞グ㍕ࢆᢳฟࡋ࡚⤂௓ࡋࡓ㸦➨ 8 ❶㸧ࠋ(8) ᅜእ࡟࠾ࡅࡿ⪏㞾タィᡭἲ࡜ࡋ࡚ IEEE ࡸ CIGRE ࡞࡝ᅜእࡢ㞾஦ᨾ⋡ண ィ⟬ᡭἲࢆㄪᰝࡍࡿ࡜࡜ࡶ࡟㸪ᅜෆᡭἲ㸦LORP㸧࡜ࡢẚ㍑᳨ウࢆ⾜࡞ࡗࡓ㸦➨ 9 ❶㸧ࠋ
⾲ 1 ㏦㟁⥺⪏㞾タィ࢞࢖ࢻࡢᵓᡂ࡜ᴫせ  ❶ࢱ࢖ࢺࣝ
⥴ ゝ

ᴫ せ
࣭㏦㟁⥺⪏㞾タィࡢṔྐⓗኚ㑄࡜࢞࢖ࢻᨵゞࡢ⤒⦋

➨ 1❶㏦㟁⥺⪏㞾タィࡢᴫせ࣭ὶ㏻タഛ඲య࡜ࡋ࡚ࡢ⤯⦕タィࡢᴫᛕ࣭ᯫ✵㏦㟁⥺ࡢ⪏㞾タィ࡜㞾஦ᨾపῶ⟇ࡢᴫせ➨ 2❶㞾⌧㇟࡜㞾ࣃ࣓࣮ࣛࢱ

࣭኱ᆅ㞾ᧁࡢⓎ⏕࣓࢝ࢽࢬ࣒
࣭⪏㞾タィ࡟ᚲせ࡞㞾㟁ὶἼᙧࡢ㞾ࣃ࣓࣮ࣛࢱ

➨ 3❶

㞾஦ᨾᐇ⦼

࣭ࢃࡀᅜࡢ඲ᅜ኱ࡢ㏦㟁⥺㞾஦ᨾᐇ⦼➨ 4❶㞾஦ᨾ⋡ィ⟬ᡭἲ࣭㞾㐣㟁ᅽࡢศ㢮ࡸ౵ධ⤒㊰
࣭㏫ࣇࣛࢵࢩ࣮࢜ࣂ࡜㞾㐽ⶸኻᩋ࣭㐣㟁ᅽィ⟬࡜㞾஦ᨾ⋡ィ⟬ᡭἲ➨ 5❶ྛ✀㞾஦ᨾపῶ⟇࣭ᯫ✵ᆅ⥺ࡢከ᮲໬㸪୙ᖹ⾮⤯⦕ࡢ᥇⏝㸪᥋ᆅ᢬ᢠࡢపῶ㸪㏦㟁⏝㑊㞾⿦⨨ࡢ㐺⏝ᐇ⦼࡜ຠᯝ

➨ 6❶ᯫ✵㏦㟁タഛࡢ⪏㞾タィ࣭㟁ຊ⥺࣭ᯫ✵ᆅ⥺ࡢ⁐᩿≉ᛶ㸪࢔࣮ࢡ࣮࣍ࣥタィ࣭㏦㟁⥺ࡢタഛ⿕ᐖࡢഴྥ࡜ศᯒ࣭タഛࡢ⿵ಟ᪉ἲ࡜ຠᯝ

➨ 7❶㞾஦ᨾᵝ┦ࡢゎᯒ

࣭EMTP/XTAP ࡟ࡼࡿᅇ㊰ゎᯒ࣭VSTL REV ࡟ࡼࡿ㞾ࢧ࣮ࢪゎᯒ㸦ᩘ್㟁☢⏺ゎᯒ㸧

➨ 8❶Ⓨኚ㟁ᡤࡸᆅ୰㏦㟁⥺࡜ࡢ༠ㄪ࣭ᯫ✵㸫ᆅ୰᥋⥆⣔⤫࠾ࡼࡧⓎኚ㟁ᡤ㏆ഐ㏦㟁⥺ࡢ⪏㞾タィ࡜༠ㄪ

➨ 9❶ᅜእ࡟࠾ࡅࡿ⪏㞾タィᡭἲ࣭IEEE ࡸ CIGRE ࡢ WG ࡢ㞾஦ᨾ⋡ண ィ⟬ᡭἲ⤖ ゝ࣭ᮏ࢞࢖ࢻࡢࡲ࡜ࡵ࡜௒ᚋࡢㄢ㢟௜㘓 A࣭⏝ㄒࡢゎㄝ௜㘓 B࣭㞾ᧁ㟁ὶἼ㧗್ࡢ⣼✚㢖ᗘศᕸ

ὀ1㸧Lightning Location System㸪ⴠ㞾఩⨨ᶆᐃࢩࢫࢸ࣒
ὀ2㸧Lightning parameters Estimation Network for Total Risk Assessment㸪㟁ຊ୰ኸ◊✲ᡤ࡛᪂ࡓ࡟㛤Ⓨ୰ࡢⴠ㞾఩⨨ᶆᐃࢩࢫࢸ
࣒ ὀ3㸧Lightning Outage Rate Program㸪㟁ຊ୰ኸ◊✲ᡤ࡛㛤Ⓨࡋࡓ㏦㟁⥺㞾஦ᨾ⋡ண ィ⟬ࣉࣟࢢ࣒ࣛ
ὀ4㸧Electromagnetic Transients Program㸪໭⡿࡛㛤Ⓨࡉࢀࡓ㟁ຊ⣔⤫㐣Ώ⌧㇟ゎᯒࢯࣇࢺ࢙࢘࢔
ὀ5㸧eXpandable Transient Analysis Program㸪㟁ຊ୰ኸ◊✲ᡤ࡛㛤Ⓨࡋࡓ㟁ຊ⣔⤫▐᫬್ゎᯒࢯࣇࢺ࢙࢘࢔
ὀ6㸧Virtual Surge Test Laboratory Restructed and Extended Version㸪㟁ຊ୰ኸ◊✲ᡤ࡛㛤Ⓨࡋࡓ 3 ḟඖ㞾ࢧ࣮ࢪゎᯒࢯࣇࢺ࢙࢘࢔
࡛ FDTD ἲ (Finite-difference time-domain method) ࡟ᇶ࡙࠸࡚࠸ࡿ

㛵㐃ሗ࿌᭩㸸
>@ 71037ࠕ㏦㟁⥺⪏㞾タィᇶ‽せ⥘ࠖ(1971.09㸧
>@ 175031ࠕ㏦㟁⥺⪏㞾タィ࢞࢖ࢻࣈࢵࢡࠖ(1976.03㸧
>@ T72ࠕ㏦㟁⥺⪏㞾タィ࢞࢖ࢻࠖ(2003.02㸧

©CRIEPI16

㏦㟁⥺࡟࠾ࡅࡿከ┦㞾஦ᨾ⋡ࡢホ౯ᡭἲࡢ㛤Ⓨ㸫஺ὶ఩┦ᕪࢆ⪃៖ࡋࡓ 2 ୪ิẼ୰ࢠࣕࢵࣉࡢྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ≉ᛶ㸫୰᰿ 㱟୍㸨୕ᮌ ㈏㸨୕ᮌ ᜨ㸨

Key Words㸸Lightning
Transmission lines
Multiphase back flashover
Arcing horns
Transmission line surge arresters࣮࣮࢟࣡ࢻ㸸㞾
㏦㟁⥺ከ┦㏫ࣇࣛࢵࢩ࣮࢜ࣂ
࢔࣮ࢡ࣮࣍ࣥ
㏦㟁⏝㑊㞾⿦⨨Development of evaluation method for multi-phase fault rate of transmission line
- Concurrent flashover characteristics of two parallel gaps in air with potential
difference considering effect of AC phase difference Ryuichi Nakane, Toru Miki and Megumu Miki

Abstract
The purpose of this report is elucidation of concurrent flashover characteristics of two parallel gaps in air for arcing horns
and externally gapped line arresters (EGLA) of 66/77 kV transmission lines. The experiment is conducted by using two typesof experimental cases. One is rod-rod / rod-rod electrode parallel configuration, the other is rod-rod / EGLA. Short-tail lightning
impulse voltage is applied by using 12MV impulse generator in Shiobara testing yard assuming that lightning strikes atransmission tower. DC voltage is superimposed on one side of two parallel gaps in consideration of the effect of AC phasedifference in the actual transmission lines. In other words, “insulation gap” occurs between two parallel gaps. This means thateven if the lengths of two gaps are the same, the mechanism for leader propagation in air is different between two parallel gaps.
The concurrent flashover rate with potential difference under superimposed DC voltage is obtained while measuring voltage
and current waveform and time transition of leader propagation in air. As a result, we experimentally verify that the larger orsmaller the insulation gap between two parallel gaps, concurrent flashover rate decreases or increases. In addition, wequantitatively clarify that concurrent flashover occur at the averaged electric field from 0.83 to 1.22 kV/mm in two parallel air
gaps regardless of experimental cases.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ◊✲ဨ
*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୺௵◊✲ဨ*3 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୖᖍ◊✲ဨ ሷཎᐇ㦂ሙ㛗

©CRIEPI17⫼  ᬒ㏦㟁⥺ࡢከ┦஦ᨾࡣ౪⤥ᨭ㞀࡟⮳ࡿྍ⬟ᛶࡢ࠶ࡿ㔜኱࡞஦ᨾ࡛࠶ࡿࡓࡵࠊከ┦㞾஦ᨾ⋡ࡢィ⟬ࡣ㏦㟁⥺ࡢ⪏㞾タィୖ㔜せ࡛࠶ࡿࠋࡇࡢࡓࡵᙜᡤ࡛ࡣࠊሪ㡬㞾ᧁ᫬࡟」ᩘࡢ࢔
࣮ࢡ࣮࣍ࣥ㸦AH㸧ࡀྠ᫬࡟ࣇࣛࢵࢩ࣮࢜ࣂὀ 1㸧ࡍࡿ⌧㇟ࢆ᫂ࡽ࠿࡟ࡋࠊLORP ὀ 2㸧࡟࠾ࡅࡿከ┦㞾஦ᨾ⋡ࡢィ⟬ᡭἲࡢ㧗ᗘ໬ࢆ㐍ࡵ࡚࠸ࡿࠋࡇࢀࡲ࡛ࠊ2 ┦ࡢ AH ࡟࠾ࡅࡿከ┦஦ᨾࢆᶍᨃࡍࡿࡓࡵ 2 ࡘࡢẼ୰ࢠࣕࢵࣉࢆ⏝࠸࡚ࠊ50%ࣇࣛࢵࢩ࣮࢜ࣂ㟁ᅽ࡟ᑐࡍࡿ༳ຍ㟁ᅽࡢ㐣㟁ᅽ⋡ࡸ⥺㊰ࢧ࣮ࢪ࢖ࣥࣆ࣮ࢲࣥࢫࡢྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ࡟ᑐࡍࡿᙳ㡪ࢆ᫂ࡽ࠿࡟ࡋ࡚ࡁࡓ[1]ࠋ୍᪉࡛ᐇ㝿ࡢ㏦㟁⥺࡛ࡣࠊ┦㛫ࡲࡓࡣᅇ⥺㛫ࡢ஺ὶ఩┦ᕪ࡟ࡼࡾ㟁ᅽࡢ▐᫬್࡟ᕪࡀ⏕ࡌࡿࡀࠊࡇࢀࡀྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ࡟୚࠼ࡿᙳ㡪ࡣ᫂ࡽ࠿࡟࡞ࡗ࡚࠸࡞
࠸ࠋ┠  ⓗ
66/77 kV ⣔⤫ࡢ㏦㟁⥺ࡢ AH ࠾ࡼࡧ㏆ᖺ㐺⏝ࡀ㐍ࡴ㓟໬ள㖄ᆺ㑊㞾 AH ࢆᑐ㇟࡜ࡋࠊ஺
ὶ఩┦ᕪ࡟ࡼࡿ㟁ᅽࡢ▐᫬್ࡢᕪࢆ⪃៖ࡋࡓྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ≉ᛶࢆ᫂ࡽ࠿࡟ࡍࡿࠋ

୺࡞ᡂᯝ
AH㸦ᐇ㦂ࢣ࣮ࢫპ㸧࠾ࡼࡧ㓟໬ள㖄ᆺ㑊㞾 AH㸦ᐇ㦂ࢣ࣮ࢫპპ㸧ࢆᶍᨃࡋࡓᐇ㦂⣔㸦ᅗ 1㸧ࢆసᡂࡋࠊࡇࢀ࡟▷Ἴᑿ㞾࢖ࣥࣃࣝࢫ㸦▷Ἴᑿ LI㸧ὀ 3㸧ࢆ༳ຍࡍࡿࡇ࡜࡛ࠊྠ᫬ࣇࣛࢵࢩ
࣮࢜ࣂ≉ᛶࢆྲྀᚓࡋࡓࠋ࡞࠾ࠊ஺ὶ఩┦ᕪ࡟ࡼࡿ㟁ᅽࡢ▐᫬್ࡢᕪࡣࠊ∦ഃࡢᲬ㸫Წࢠࣕࢵࣉ࡟ DC 㟁ᅽࢆ㔜␚ࡍࡿࡇ࡜࡟ࡼࡾᶍᨃࡋࡓὀ 4㸧ࠋ௨ୗ࡟ᚓࡽࢀࡓ▱ぢࢆ♧ࡍࠋ ྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡࡟ཬࡰࡍ▷Ἴᑿ /, ࡜ '& 㟁ᅽࡢᴟᛶࡢᙳ㡪୍ᐃࡢ඘㟁㟁ᅽ࡛▷Ἴᑿ LI ࢆ 10 ᅇ༳ຍࡋࠊࣇࣛࢵࢩ࣮࢜ࣂ᫬ࡢ㟼Ṇ෗┿㸦ᅗ 2㸧࠿ࡽࠊྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡ࢆྲྀᚓࡋࡓ㸦⾲ 1㸧ࠋྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡࡟ཬࡰࡍ▷Ἴᑿ LI ࡜
DC 㟁ᅽࡢᴟᛶࡢ㛵ಀ࡟╔┠ࡍࡿ࡜ࠊ▷Ἴᑿ LI ࡜ DC 㟁ᅽࡀྠᴟᛶࡢሙྜࠊ࠸ࡎࢀࡢᐇ㦂ࢣ࣮ࢫ࡟࠾࠸࡚ࡶ DC 㟁ᅽࡢୖ᪼࡟క࠸ྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡ࡣపୗࡍࡿࡀࠊ㏫ᴟᛶࡢ
ሙྜࡣࠊኚ໬ࡀ࡞࠸㸦ᐇ㦂ࢣ࣮ࢫ I㸧࠿ࠊୖ᪼ࡍࡿ㸦ᐇ㦂ࢣ࣮ࢫ II㸧ഴྥࡀ࠶ࡿࡇ࡜ࡀุ
᫂ࡋࡓࠋࡇࢀࡣ▷Ἴᑿ LI ࡜ DC 㟁ᅽࡢ㔜␚㟁⏺ࡀ୪ิࢠࣕࢵࣉࡢぢ࠿ࡅୖࡢ⤯⦕᱁ᕪ࡟ᙳ㡪ࢆ୚࠼࡚࠸ࡿࡇ࡜ࢆ♧၀ࡋ࡚࠾ࡾࠊࡇࢀࡼࡾྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡ࢆ㔜␚㟁⏺㸦ࢠࣕࢵࣉࡢࣇࣛࢵࢩ࣮࢜ࣂ㟁⏺ EFO㸧ὀ 5㸧࡛ᩚ⌮࡛ࡁࡿྍ⬟ᛶࡀ᫂ࡽ࠿࡜࡞ࡗࡓࠋ Ẽ୰ࢠࣕࢵࣉࡢࣇࣛࢵࢩ࣮࢜ࣂ㟁⏺࡜ྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡ࡢ㛵ಀྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡ࢆࢠࣕࢵࣉࡢࣇࣛࢵࢩ࣮࢜ࣂ㟁⏺ EFO ࡛ᩚ⌮ࡋࡓ⤖ᯝࠊ඲࡚ࡢ
ᐇ㦂ࢣ࣮ࢫ࡛ EFO ࡀ 0.83 kV/mm ௨ୗ࡛ࡣྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂࡣⓎ⏕ࡏࡎ㸦ྠ᫬ࣇࣛࢵࢩ
࣮࢜ࣂ⋡ 0 %㸧
ࠊ1.22 kV/mm ௨ୖ࡛ࡣᚲࡎⓎ⏕ࡍࡿ㸦ྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡ 100 %㸧ࡇ࡜ࡀࢃ࠿ࡗࡓ㸦ᅗ 3㸧
ࠋ௒ᅇࠊ66/77 kV ⣔⤫ࡢ㏦㟁⥺ࢆᑐ㇟࡜ࡋࡓ⤖ᯝ࡛ࡣ࠶ࡿࡀࠊྠ᫬ࣇ
ࣛࢵࢩ࣮࢜ࣂ⋡ࢆ㟁⏺࡛ᩚ⌮࡛ࡁࡿぢ㏻ࡋࡀᚓࡽࢀࡓࡇ࡜࡟ࡼࡾࠊ௒ᚋࠊ3┦௨ୖࡢྠ᫬
ࣇࣛࢵࢩ࣮࢜ࣂࡸ␗࡞ࡿ㟁ᅽ㝵⣭ࡢ㏦㟁⣔⤫ࡢ᳨ウ࡟㐺⏝࡛ࡁࡿྍ⬟ᛶࡀ࠶ࡿࠋ

©CRIEPI18

௒ᚋࡢᒎ㛤␗࡞ࡿ㟁ᅽ㝵⣭ࡢ㏦㟁⣔⤫ࢆ᝿ᐃࡋࡓྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ≉ᛶࡢ᳨ウࢆ⾜࠺ࡇ࡜࡛ᚓࡽࢀࡓ▱ぢࢆ LORP ࡟ྲྀࡾ㎸ࡳࠊ⢭⦓໬ࢆᅗࡿࠋ
▷Ἴᑿ㞾࢖ࣥࣃࣝࢫ
㟁ᅽ༳ຍ
㟁ὶ

ᐃ

▷Ἴᑿ㞾࢖ࣥࣃࣝࢫ
㟁ᅽ༳ຍ

㟁ᅽ ᐃ

㟁ὶ ᐃ

CT

CT

㟁ᅽ ᐃ

CT

CT

Ẽ୰
ࢠࣕࢵࣉ1

Ẽ୰
ࢠࣕࢵࣉ2

FRP

Ẽ୰
ࢠࣕࢵࣉ2

Წ㸫Წ
ࢠࣕࢵࣉ

Წ㸫Წ
ࢠࣕࢵࣉ

⥺㊰ࢧ࣮ࢪ
࢖ࣥࣆ࣮ࢲࣥࢫ
ᶍᨃ᢬ᢠ

㏦㟁⏝
㑊㞾⿦⨨

350 mm

800 mm

800 mmẼ୰
ࢠࣕࢵࣉ1

700 mm

FRP

Წ㸫Წ
ࢠࣕࢵࣉ

⥺㊰ࢧ࣮ࢪ
࢖ࣥࣆ࣮ࢲࣥࢫ
ᶍᨃ᢬ᢠDC㟁ᅽ
(0 ~s150 kV)(a) ᐇ㦂ࢣ࣮ࢫϨ(a) ∦ഃࣇࣛࢵࢩ࣮࢜ࣂ

DC㟁ᅽ
(0 ~ s150 kV)(b) ྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ(b) ᐇ㦂ࢣ࣮ࢫϩ

ᅗ 2 ᨺ㟁ࡢ㟼Ṇ෗┿㸦ᐇ㦂ࢣ࣮ࢫϨ㸧ᅗ 1 ᐇ㦂⣔ࡢᶍᘧᅗ⾲ 1 ඲ᐇ㦂ࢣ࣮ࢫ࡟࠾ࡅࡿ DC 㟁ᅽ࡟ᑐࡍࡿྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡ࡢᐇ㦂⤖ᯝࢠࣕࢵࣉᵓᡂᐇ㦂ࢣ࣮ࢫṇᴟᛶ▷Ἴᑿ㞾࢖ࣥࣃࣝࢫ㈇ᴟᛶ
▷Ἴᑿ㞾࢖ࣥࣃࣝࢫ

ṇᴟᛶ
DC㟁ᅽ

ṇᴟᛶ
DC㟁ᅽ

Ẽ୰
ࢠࣕࢵࣉ1

Ẽ୰
ࢠࣕࢵࣉ2
(DC㔜␚)

Ϩ

Წ㸫Წ
ࢠࣕࢵࣉ

Წ㸫Წ
ࢠࣕࢵࣉ

పୗ

ኚ໬࡞ࡋ

ኚ໬࡞ࡋ

పୗ

ϩ

㏦㟁⏝
㑊㞾⿦⨨

Წ㸫Წ
ࢠࣕࢵࣉ

పୗ

ୖ᪼

ୖ᪼

పୗ

㈇ᴟᛶ
DC㟁ᅽ

ྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡ [%]ྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡0%ࡢ㡿ᇦྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡100%ࡢ㡿ᇦ100
DC = 0 kV
DC = +50 kV

60

DC = +100 kV
DC = +150 kV

40
20
0
0

0.25

0.5

0.75

DC㟁ᅽࡢୖ᪼࡟క࠺
ྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡ࡢኚ໬…ୖ᪼ࡍࡿࢣ࣮ࢫ

ྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡ࡀ0 %࠿ࡽ100 %࡬㑄⛣ࡍࡿ㡿ᇦ㸦EFO = 0.83 ~ 1.22 [kV/mm]㸧

80

㈇ᴟᛶ
DC㟁ᅽ

1

1.25

1.5

ࣇࣛࢵࢩ࣮࢜ࣂ㟁⏺ EFO [kV/mm]

ᅗ 3 Ẽ୰ࢠࣕࢵࣉࡢࣇࣛࢵࢩ࣮࢜ࣂ㟁⏺࡜ྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ⋡㸦⾲ 1 ࡢᐇ㦂ࢣ࣮ࢫϨ㸸▷Ἴᑿ
LI ࡜ DC 㟁ᅽࡀṇᴟᛶࡢሙྜ㸧…ኚ໬ࡋ࡞࠸ࢣ࣮ࢫ
…పୗࡍࡿࢣ࣮ࢫὀ 1㸧ሪ㡬㞾ᧁ᫬࡟Ⓨ⏕ࡍࡿ㞾㐣㟁ᅽ࡟ࡼࡗ࡚」ᩘࡢ AH
ࡀ㏫ࣇࣛࢵࢩ࣮࢜ࣂࡍࡿ⌧㇟ࠋᮏሗ࿌࡛ࡣࠊ1 ᅇࡢ㟁ᅽ༳ຍ࡟ᑐࡋࠊ2ࡘࡢࢠࣕࢵࣉ࡛ 1ᅇࡎࡘࠊィ 2ᅇࡢࣇࣛࢵ
ࢩ࣮࢜ࣂࡀⓎ⏕ࡋࡓ࡜ࡁྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ࡜ࡍࡿࠋ
ὀ 2㸧
Lightning Outage Rate Program㸸㏦㟁⥺㞾஦ᨾ⋡ண ィ⟬ࣉࣟࢢ࣒ࣛ
ὀ 3㸧ሪ㡬㞾ᧁ᫬࡟ AH ࡢࢠࣕࢵࣉ㛫࡟Ⓨ⏕ࡍࡿ㞾㐣㟁ᅽࡣࠊሪ⬮࠿ࡽࡢ㞾ࢧ࣮ࢪ㟁ᅽࡢ㈇཯ᑕ࡟ࡼࡾࠊἼᑿ㛗ࡀᩘ ȝs ⛬ᗘࡢ▷Ἴᑿ㞾࢖ࣥࣃࣝࢫἼᙧ࡜࡞ࡿࠋ㸦ཧ⪃ᩥ⊩㸸㟷ᓥ ௚, 㟁Ꮫㄽ B, Vol. 109, No. 3, pp. 135-142, 1989㸧
ὀ 4㸧
▷Ἴᑿ LI 㟁ᅽἼᙧ㸦1.8 / 5.5ȝs㸧࡟ẚ࡭ࠊ㏦㟁⥺ࡢ஺ὶ㟁ᅽἼᙧࡢኚ໬ࡣ ms ࡜༑ศ࡟㛗࠸ࠋࡋࡓࡀࡗ࡚ࠊDC㟁ᅽ㸦 0 ~ s150 kV㸧ࢆ∦ഃࡢࢠࣕࢵࣉ࡟㔜␚ࡋࠊ77kV⣔⤫ࡢ㏦㟁⥺ࡢ┦㛫ࡲࡓࡣᅇ⥺㛫࡛Ⓨ⏕ࡋᚓࡿ஺ὶ఩┦ᕪ࡟ࡼࡿ㟁ᅽࡢ▐᫬್ࡢᕪࡢ᭱኱್㸦109 kV㸧ࢆ⪃៖ࡋࡓࠋὀ 5㸧ࣇࣛࢵࢩ࣮࢜ࣂ᫬࡟࠾ࡅࡿ▷Ἴᑿ LI ࡢἼ㧗್࡟ DC㟁ᅽࡢ㔜␚ศࢆ⪃៖ࡋࠊࢠࣕࢵࣉ㛗㸦ᐇ㦂ࢣ࣮ࢫპ࡛ࡣ
800 mmࠊპპ࡛ࡣ 700 mm㸧࡛㝖ࡋࡓࡶࡢࠋ

㛵㐃ሗ࿌᭩㸸[1] H20001ࠕ㏦㟁⥺ࡢከ┦㞾஦ᨾ⋡ィ⟬ᡭἲࡢ㛤Ⓨ(ࡑࡢ 2)̿㏦㟁⏝㑊㞾⿦⨨࡜Წ㸫Წࢠࣕࢵࣉࡢྠ᫬ࣇࣛࢵࢩ࣮࢜ࣂ≉ᛶ̿ࠖ
㸦2020.06㸧

©CRIEPI
19╔ị㞷ࡀ࠸ࡋࡢ╔㞷≉ᛶ࠾ࡼࡧࣇࣛࢵࢩ࣮࢜ࣂ≉ᛶࡢホ౯㸫ேᕤ╔㞷ㄢ㟁ᐇ㦂࡟ࡼࡿᨺ㟁㐍ᒎᵝ┦࡜⪏㟁ᅽ≉ᛶࡢ᳨ウ㸫୕ዲ 㞞ோ㸨ᮏ㛫 ᏹஓ㸨

Key Words㸸Overhead line
Snow accretion
Insulator
Field observation
Flashover࣮࣮࢟࣡ࢻ㸸ᯫ✵㏦㟁⥺╔㞷ࡀ࠸ࡋࣇ࢕࣮ࣝࢻほࣇࣛࢵࢩ࣮࢜ࣂ

Evaluation of Snow Accretion and Flashover Properties of Snow Accreted Insulators- Study of Discharge Development and Withstand Voltage Characteristics
by Artificial Snow Accretion Energizing Tests Masahito Miyoshi and Hiroya Homma

Abstract
In December 2005, Japan experienced a major outage in Niigata Kaetsu area due to a large amount of wet snow mixed
with sea-salt accreted on several transmission insulators. Observation of the discharge development and flashover tests of snow
accreted insulators considering the state of snow accretion and electricity imposed on them have been carried out. As a resultof the flashover tests using artificial snow, it was observed that partial discharge occurred in the initial stage of voltage
application, and then local arc between the gaps occurred when the snow melted due to the partial discharge.
This time, we carried out simplified experiments of energized test sample simulating a snow accreted insulator, and thedischarge was observed using a spectroscope. The results of the spectroscopic analysis revealed that the emission was deliveredfrom N2 during the partial discharge and Na during the local arc discharge.
As for the flashover test of snow-accreted insulators, the 154kV insulator flashover tests have been conducted by applying
voltage to the insulators covered with snow in advance. However, in the case of actual salt and snow damage in service, it isnecessary to consider the situation where the snow has landed on the insulators of the live lines. Therefore, the other flashover
tests were conducted with either the pre-energizing or pre-snowing procedures. As the results, both test methods showed thesame discharge development pattern, but different withstand voltage. The effects on the withstand voltage characteristics due
to differences in the sequence of snow accretion and energizing was clarified.
*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ◊✲ဨ
*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୖᖍ◊✲ဨ

©CRIEPI
20

⫼  ᬒ2005 ᖺ 12 ᭶ࠊ᪂₲┴ୗ㉺ᆅ᪉࡛Ⓨ⏕ࡋࡓ㞷ᐖ஦ᨾࢆዎᶵ࡟ࠊᙜᡤ࡛ࡣࠊ㞷ᐖ஦㇟࡟ᑐ
ᛂࡋࡓ◊✲ࢆ㛤ጞࡋࡓ[1-3]ࠋࡑࡢ୍⎔ࡢሷ㞷ᐖὀ1㸧࡟㛵ࡍࡿ◊✲࡜ࡋ࡚ࠊࡇࢀࡲ࡛⌧ᆅ╔㞷
ほ ࡸᐇつᶍࡀ࠸ࡋࡢ╔㞷ㄢ㟁ᐇ㦂➼࡟ࡼࡾࠊ╔㞷≉ᛶࡸ㟁Ẽ⤯⦕≉ᛶࡢホ౯ࢆ⾜ࡗ࡚ࡁࡓࠋୖグࡢ╔㞷ㄢ㟁ᐇ㦂࡛ࡣࠊࣇࣛࢵࢩ࣮࢜ࣂࡢ๓㥑⌧㇟࡜ࡋ࡚ᨺ㟁ᵝ┦ࡢኚ໬ࡀ☜ㄆࡉࢀ࡚࠸ࡓࡀࠊࡑࡢᨺ㟁㐍ᒎ࣓࢝ࢽࢬ࣒ࡣ᫂ࡽ࠿࡟࡞ࡗ࡚࠸࡞࠸ࠋࡲࡓࠊᐇ⥺㊰࡟࠾ࡅࡿሷ㞷ᐖ஦ᨾ࡜ࡋ࡚ࠊά⥺≧ែ࡛╔㞷ࡀⓎ㐩ࡋࣇࣛࢵࢩ࣮࢜ࣂ࡟⮳ࡿࠕㄢ㟁ඛ⾜ᆺࠖὀ2㸧ࡢ஦ᨾ࡜ࠊ୍᪦೵㟁ࡋࡓ≧ែ࡛╔㞷ࡀⓎ㐩ࡋࠊ෌㏦㟁᫬࡟ࣇࣛࢵࢩ࣮࢜ࣂ࡟⮳ࡿࠕ╔㞷ඛ⾜ᆺࠖࡢ஦ᨾࡀ࠶ࡿࠋ୍᪉ࠊࡇࢀࡲ࡛ࡢ╔㞷ㄢ㟁ᐇ㦂࡛ࡣࠊᐇ㦂ୖࡢไ⣙ὀ3㸧࠿ࡽࠕ╔㞷ඛ⾜ᆺ࡛ࠖࡢᐇ᪋࡟࡜࡝ࡲࡗ࡚࠾ࡾࠊ㐺ษ࡞㞷ᐖᑐ⟇ࡢᐇ⌧ࡢࡓࡵ࡟ࡣࠕ╔㞷ඛ⾜ᆺࠖ࡜ࠕㄢ㟁ඛ⾜ᆺࠖࡢ⪏㟁ᅽ≉ᛶࡢ㐪࠸ࢆ᫂ࡽ࠿࡟ࡍࡿᚲせࡀ࠶ࡿࠋ┠  ⓗேᕤ㞷ࢆ⏝࠸ࡓ╔㞷ㄢ㟁ᐇ㦂࡟ࡼࡾࠊ╔㞷ࡀ࠸ࡋࡢᨺ㟁㐍ᒎ࣓࢝ࢽࢬ࣒ࢆ᫂ࡽ࠿࡟ࡍ
ࡿ࡜࡜ࡶ࡟ࠊ╔㞷࣭ㄢ㟁ࣉࣟࢭࢫࡢ㐪࠸ࡀ⪏㟁ᅽ≉ᛶ࡟୚࠼ࡿᙳ㡪ࢆ᫂ࡽ࠿࡟ࡍࡿࠋ୺࡞ᡂᯝ ╔㞷ࡀ࠸ࡋࡢᨺ㟁㐍ᒎ࣓࢝ࢽࢬ࣒ࡢゎ᫂ࡢࡓࡵࡢ᳨ウ╔㞷ࡀ࠸ࡋࢆᶍᨃࡋࡓ☢ჾᯈヨᩱὀ4㸧࡟ᑐࡋ࡚ࠊ㟁ᅽ㸦30 kVrms㸧ࢆ༳ຍࡋ㸦╔㞷ඛ⾜ᆺ㸧ࠊㄢ㟁୰ࡢᨺ㟁㐍ᒎᵝ┦ࢆศගჾ࡟ࡼࡾほ ࡋࡓ㸦ᅗ1㸧ࠋࡑࡢ⤖ᯝࠊ㒊ศᨺ㟁Ⓨ⏕᫬ࡣࠊ✵Ẽ୰ࡢ❅⣲ὀ5㸧࡟⏤᮶ࡍࡿⓎගࡢࣆ࣮ࢡ㸦Ἴ㛗 300㹼400 nm㸧ࡀㄆࡵࡽࢀࠊࡇࢀࡣ
㞷ෆ㒊ࡢ✵Ẽᒙ࡟࠾ࡅࡿ࣎࢖ࢻᨺ㟁࡛࠶ࡿ࡜ุ᫂ࡋࡓ㸦ᅗ 2(a)㸧
ࠋࡑࡢᚋࠊᨺ㟁ࡢ⥅⥆࡟క࠸⼥㞷ࡀ㐍ࡴ࡜ࠊ୍㒊࡛ࢠࣕࢵࣉ㒊ࡀᙧᡂࡉࢀࠊࡑࡇ࡟ᒁ㒊࢔࣮ࢡᨺ㟁ࡀⓎ⏕ࡍࡿࠋࡇࡢᨺ㟁࡟ࡘ࠸࡚ࡣࠊ❅⣲࠾ࡼࡧࢼࢺ࣒ࣜ࢘࡟⏤᮶ࡍࡿࣆ࣮ࢡ㸦Ἴ㛗 590 nm ௜㏆㸧ࡀㄆࡵࡽࢀࠊࡇࢀࡣ⼥㞷࡟క࠺ἢ㠃ᨺ㟁࡛࠶ࡿࡇ࡜ࡀ᫂ࡽ࠿࡜࡞ࡗࡓ㸦ᅗ 2(b)㸧ࠋ ╔㞷࣭ㄢ㟁ࣉࣟࢭࢫࡢ㐪࠸ࡀ⪏㟁ᅽ≉ᛶ࡟୚࠼ࡿᙳ㡪㓄㟁⏝ࡀ࠸ࡋ 2 ✀࡟ᑐࡋࠊᚑ᮶ࡢࠕ╔㞷ඛ⾜ᆺࠖ࡟ຍ࠼ࠊ᪂ࡓ࡟ࠕㄢ㟁ඛ⾜ᆺࠖ࡟ࡼࡿ╔㞷ㄢ㟁ᐇ㦂ࢆ⾜࠸ࠊேᕤ㞷ࡢᑟ㟁⋡࡜⪏㟁ᅽࡢ㛵ಀࢆホ౯ࡋࡓ㸦ᅗ 3㸧ࠋࡑࡢ⤖ᯝࠊ
ࠕ╔㞷ඛ⾜ᆺࠖ࡟ẚ࡭ࠊࠕㄢ㟁ඛ⾜ᆺࠖࡢ᪉ࡀ 10㹼30 %⛬ᗘ⪏㟁ᅽࡀపࡃ࡞ࡿࡇ࡜ࡀศ࠿
ࡗࡓ㸦ᅗ4㸧ࠋࠕ╔㞷ඛ⾜ᆺࠖࡢሙྜࠊᨺ㟁࡟క࠺⼥㞷࡟ࡼࡾࢠࣕࢵࣉࡢᣑ኱ࡀ㐍ࡴ࡜ࠊࡑࢀ௨㝆ࡣࣇࣛࢵࢩ࣮࢜ࣂ࡟⮳ࡽ࡞࠸ࡀࠊ
ࠕㄢ㟁ඛ⾜ᆺ࡛ࠖࡣࠊ㞷ࡀ⥅⥆ࡋ࡚྿ࡁ௜ࡅࡽࢀ
ࡿࡓࡵࠊࣇࣛࢵࢩ࣮࢜ࣂࡢᶵ఍ࡀከࡃ࡞ࡾࠊ⤖ᯝ࡜ࡋ࡚ࠕ╔㞷ඛ⾜ᆺࠖࡼࡾࡶ⪏㟁ᅽࡀపࡃ࡞ࡗࡓ࡜⪃࠼ࡽࢀࡿࠋ௨ୖࡼࡾࠊ╔㞷࣭ㄢ㟁ࣉࣟࢭࢫࡢ㐪࠸ࡀ⪏㟁ᅽ≉ᛶ࡟୚࠼ࡿ
ᙳ㡪ࡀ᫂ࡽ࠿࡟࡞ࡾࠊᐇ⥺㊰ࡢ஦ᨾᙧែࢆ⪃៖ࡋࡓሷ㞷ᐖᑐ⟇ࡢ᳨ウࡀྍ⬟࡜࡞ࡿࠋ©CRIEPI21

௒ᚋࡢᒎ㛤ேᕤ㞷ࢆ⏝࠸ࡓ╔㞷ㄢ㟁ヨ㦂࡜ᐇ౑⏝⎔ቃ࡜ࡢ➼౯ᛶࡢ᳨ドࢆ⾜࠺ࠋD ᐇ㦂⿦⨨ᵓᡂ E ☢ჾᯈヨᩱタ⨨≧ἣ

400
300
200
100
0
-100

N2(300 nm䡚400 nm)
Intensity [count]

Intensity [count]ᅗ ☢ჾᯈヨᩱࢆ⏝࠸ࡓ╔㞷ㄢ㟁ᐇ㦂⿦⨨ࡢᵓᡂ࡜タ⨨≧ἣ౛

200

300 400 500 600
Wavelength [nm]

2500
2000
1500
1000
500
0

700

Na (approx. 590 nm)
N2(300 nm䡚400 nm)

200

300 400 500 600
Wavelength [nm]700

 D 㒊ศᨺ㟁Ⓨ⏕᫬           E ᒁ㒊࢔࣮ࢡᨺ㟁Ⓨ⏕᫬ᅗ ╔㞷ࡋࡓ☢ჾᯈヨᩱࡢ㟁ᅽ༳ຍ୰࡟࠾ࡅࡿᨺ㟁㐍ᒎᵝ┦࡜ᨺ㟁Ⓨගࢫ࣌ࢡࢺࣝࡢ୍౛
300᭷ຠ㛗ᙜ䛯䜚䛾
⪏㟁ᅽ್[kV/m]

250
200

╔㞷ඛ⾜ᆺ ㄢ㟁ඛ⾜ᆺ

150

㓄㟁⏝
☢ჾ㛗ᖿ䛜䛔䛧

100㓄㟁⏝䝫䝸䝬䞊䛜䛔䛧

50
0
100

1000
ேᕤ㞷䛾ᑟ㟁⋡ [ȝS/cm]

ᅗ ╔㞷ㄢ㟁ᐇ㦂᫬ࡢ╔㞷ᵝ┦ᅗ ேᕤ㞷ࡢᑟ㟁⋡࡜⪏㟁ᅽࡢ㛵ಀ

ὀ1㸧ሷศࢆྵࢇࡔ‵㞷ࡀࠊࡀ࠸ࡋࡢ➟㛫ࢆᇙࡵᑾࡃࡍ࡯࡝ࡢᅽᐦ╔㞷࡟ࡼࡿᆅ⤡஦ᨾࠋ
ὀ2㸧ࡀ࠸ࡋࡢ╔㞷ㄢ㟁ᐇ㦂ࢆ⾜࠺ሙྜࠊ౪ヨࡀ࠸ࡋ࡟ேᕤ㞷ࢆ྿ࡁ௜ࡅࠊ஺ὶ㟁ᅽࢆ༳ຍࡍࡿ᪉ἲࡀࠕ╔㞷ඛ⾜ᆺ࡛ࠖ࠶ࡿࠋ୍᪉ࠊ஺ὶ㟁ᅽࢆ༳ຍࡋࡓ౪ヨࡀ࠸ࡋ࡟ேᕤ㞷ࢆ྿ࡁ௜ࡅࡿ᪉ἲࡀࠕㄢ㟁ඛ⾜ᆺ࡛ࠖ࠶ࡿࠋ
ὀ3㸧ㄢ㟁୰ࠊேᕤⓗ࡟╔㞷ࢆᙧᡂ࣭ไᚚࡍࡿࡇ࡜ࡀᅔ㞴࡛࠶ࡿࡀࠊ௒ᅇࠊࣈ࣮ࣟ࣡ࢆ⏝࠸ࡿࡇ࡜࡟ࡼࡾྍ⬟࡜ࡋࡓࠋὀ4㸧☢ჾᯈヨᩱ㸦㟁ᴟ㛫㊥㞳 296 mm㸧ࡢୖ࡟ࠊᆺᯟࢆ⏝࠸࡚ேᕤ㞷㸦ᑟ㟁⋡ 526 μS/cm㸧ࢆཌࡉ⣙ 60 mm ࡛ᡂᆺࡋ࡚࠸ࡿࠋ
ὀ5㸧❅⣲ศᏊࡢ➨ 2 ṇᖏ㑄⛣ࡢ⬺ບ㉳࡟క࠺Ⓨගࠋ㛵㐃ሗ࿌᭩㸸
[1] N19ࠕ㏦㟁タഛࡢ㞷ᐖ࡟㛵ࡍࡿ◊✲㸫2007㹼2011 ᖺᗘᡂᯝ㸫ࠖ
㸦2012.05㸧
[2] H11018ࠕ㏦㟁⏝ࡀ࠸ࡋࡢ╔㞷᫬ࣇࣛࢵࢩ࣮࢜ࣂ≉ᛶࡢホ౯㸦Ϩ㸧ࠖ㸦2012.06㸧
[3] H11019ࠕ㏦㟁⏝ࡀ࠸ࡋࡢ╔㞷᫬ࣇࣛࢵࢩ࣮࢜ࣂ≉ᛶࡢホ౯㸦ϩ㸧ࠖ㸦2012.05㸧

©CRIEPI
22㞴╔㞷ࣜࣥࢢࡀཬࡰࡍ┤ὶࢥࣟࢼ≉ᛶ࡬ࡢᙳ㡪㸫ࢥࣟࢼࢣ࣮ࢪࢆ⏝࠸ࡓᐇ㦂ⓗ᳨ウ㸫ᐑᓥ Ύᐩ㸨᳝ྡ ೺㞝㸨

Key Words㸸DC power transmission
Overhead transmission lines
Ion flow electrification
Corona discharge
Prediction method࣮࣮࢟࣡ࢻ㸸┤ὶ㏦㟁
ᯫ✵㏦㟁⥺࢖࢜ࣥὶᖏ㟁ࢥࣟࢼᨺ㟁ண ᡭἲStudy on DC Corona Characteristics of Snow Resistant Rings- Experimental Study Using Corona CageKiyotomi Miyajima and Takeo Shiina

Abstract
An ion flow occurs by corona discharge generated from charged conductor of DC transmission line. Since
the ion flow may charge on object under DC transmission line, it is necessary to predict it in advance.
In this report, a corona cage test was conducted in order to develop a prediction method of DC electric
environment factors of conductor with snow resistant rings. From the corona cage test results, it was clarified thatthe corona current was larger when the positive voltage than the negative voltage was applied. In addition, a
coefficient indicating the state of occurrence of corona discharge from conductor was calculated from themeasurement results of the corona current. It was clarified that when a positive voltage was applied, a conductor
with snow resistant rings was apt to generating corona discharge than a conductor wrapped with spiral wires.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୖᖍ◊✲ဨ*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୺௵◊✲ဨ

©CRIEPI23⫼  ᬒ
ᯫ✵㏦㟁⥺ࡢᘓタ࡟࠾࠸࡚ࡣ㸪⎔ቃ࡬ࡢ㓄៖ࡀồࡵࡽࢀ࡚࠾ࡾ㸪┤ὶ㏦㟁⥺ࡢタィࡢ㝿࡟ࡣ㸪㟁⥺࠿ࡽⓎ⏕ࡍࡿࢥࣟࢼᨺ㟁࡟క࠺ࢥࣟࢼ㦁㡢ࡸ㸪࢖࢜ࣥὶ࡟㉳ᅉࡍࡿ⥺ୗ≀యࡢᖏ㟁㟁ᅽ➼ࡢ㟁Ẽ⎔ቃⓗせᅉࡶ⪃៖ࡍࡿᚲせࡀ࠶ࡿࠋᙜᡤ࡛ࡣࡇࢀࡲ࡛ᶆ‽㟁⥺㸦㗰ᚰ࢔࣑ࣝࡼࡾ⥺㸧࠾ࡼࡧࢫࣃ࢖ࣛࣝ⥺ࢆ⿦╔ࡋࡓᶆ‽㟁⥺ࢆᑐ㇟࡜ࡋ࡚㸪┤ὶ㏦㟁⥺ࡢࢥࣟࢼ≉ᛶࢆゎ᫂ࡍࡿ࡜࡜ࡶ࡟㸪ࡇࢀ࡟ᇶ࡙ࡃ┤ὶ㟁Ẽ⎔ቃண ィ⟬ࣉࣟࢢ࣒ࣛὀ㸯[1, 2]

ࢆ㛤Ⓨࡋ࡚ࡁࡓࠋ

㏆ᖺ㸪ᅜෆࡢᯫ✵㏦㟁⥺࡛ࡣ㸪㞷ᐖᑐ⟇ࡢࡓࡵ㸪㞴╔㞷ࣜࣥࢢࡀከࡃ㐺⏝ࡉࢀ࡚࠸ࡿ
ࡀ㸪㟁⥺࡟⿦╔ࡉࢀࡓ㞴╔㞷ࣜࣥࢢࡣ㸪㟁⥺⾲㠃ࡢ✺㉳≀࡜࡞ࡿࡓࡵ㸪ࡑࡢࢥࣟࢼ≉ᛶࡢゎ᫂ࡸ㟁Ẽ⎔ቃホ౯ࡀᚲせ࡜࡞ࡿࠋࡋ࠿ࡋ࡞ࡀࡽ㸪ࡇࢀࡲ࡛㞴╔㞷ࣜࣥࢢࡀ⿦╔ࡉࢀࡓ㟁⥺ࡢ┤ὶࢥࣟࢼ≉ᛶࡢ᳨ウࡣ࡞ࡉࢀ࡚࠸࡞࠸ࠋ┠  ⓗࢥࣟࢼࢣ࣮ࢪὀ㸰ࢆ⏝࠸ࡓヨ㦂࡟ࡼࡾ㸪㞴╔㞷ࣜࣥࢢࡢ┤ὶࢥࣟࢼ≉ᛶࢆ᫂ࡽ࠿࡟ࡍࡿ
࡜࡜ࡶ࡟㸪┤ὶ㟁Ẽ⎔ቃண ィ⟬࡟ᚲせ࡞ࣃ࣓࣮ࣛࢱࢆ⟬ฟࡍࡿࠋ୺࡞ᡂᯝ ࢥࣟࢼࢣ࣮ࢪヨ㦂࡟ࡼࡿ㞴╔㞷ࣜࣥࢢࡀ⿦╔ࡉࢀࡓᶆ‽㟁⥺ࡢ┤ὶࢥࣟࢼ≉ᛶࡢゎ᫂ሷཎᐇ㦂ሙࡢࢥࣟࢼࢣ࣮ࢪࢆ⏝࠸㸪ᶆ‽㟁⥺㸦ACSR810mm2㸧ࡢ༢ᑟయ࡟㞴╔㞷ࣜࣥ
ࢢࢆ 90cm 㛫㝸࡛⿦╔ࡋࡓࢣ࣮ࢫ࡟ࡘ࠸࡚㸪ṇᴟᛶ࠾ࡼࡧ㈇ᴟᛶࡢ┤ὶ㟁ᅽ㸦᭱㧗 312kV㸪
Gmax ὀ㸱=30kV/cm㸧ࢆㄢ㟁ࡋ㸪ࢥࣟࢼ㟁ὶࡢ ᐃࢆ⾜ࡗࡓὀ㸲㸦ᅗ 1㸪2㸧ࠋࡇࡢ⤖ᯝ㸪ࢥࣟࢼᨺ㟁ࡣ㞴╔㞷ࣜࣥࢢࢆ⿦╔ࡋࡓ⟠ᡤ࠿ࡽⓎ⏕ࡋࡸࡍࡃ㸦ᅗ 3㸧㸪ࢥࣟࢼ㟁ὶࡢ⤯ᑐ್ࡣ㸪㈇ᴟᛶࡼࡾࡶṇᴟᛶࡢ㟁ᅽࢆㄢ㟁ࡋࡓ࡯࠺ࡀ㸪኱ࡁࡃ࡞ࡿࡇ࡜ࢆ᫂ࡽ࠿࡟ࡋࡓ㸦ᅗ 4㸧ࠋ ࢥࣟࢼࢣ࣮ࢪヨ㦂࡟ᇶ࡙ࡃ┤ὶ㟁Ẽ⎔ቃண ィ⟬࡟⏝࠸ࡿࣃ࣓࣮ࣛࢱࡢ⟬ฟ㸪ᶆ‽㟁⥺࡟㞴╔ࢥࣟࢼࢣ࣮ࢪヨ㦂࠿ࡽᚓࡽࢀࡓࢥࣟࢼ㟁ὶࡢ Gmax ≉ᛶࢆ⏝࠸㸦ᅗ 4㸧㞷ࣜࣥࢢࢆ⿦╔ࡋࡓࢣ࣮ࢫ࡟ࡘ࠸࡚㸪┤ὶ㟁Ẽ⎔ቃண ィ⟬ࣉࣟࢢ࣒࡛ࣛࡢண ィ⟬࡟ᚲせ࡞ࣃ࣓࣮ࣛࢱ㸦Kb ್ὀ㸳㸧ࢆ⟬ฟࡋࡓࠋ࡞࠾㸪ࢥࣟࢼ㟁ὶࡢ Gmax ≉ᛶࡢ ᐃ⤖ᯝ࡟࠾࠸࡚㸪ᴟᛶ࡟ࡼࡿᕪࡀ㢧ⴭ࡟⾲ࢀࡓࡓࡵ㸪ṇ࣭㈇ᴟᛶࡑࢀࡒࢀ࡟ᑐࡋ࡚ Kb ್ࢆ⟬ฟࡋࡓ㸦⾲ 1㸧ࠋᶆ‽㟁⥺࡟㞴╔㞷ࣜࣥࢢࢆ⿦╔ࡋࡓሙྜ㸪Kb ್ࡣ㈇ᴟᛶࡼࡾࡶṇᴟᛶࡢ㟁ᅽࡀㄢ㟁ࡉࢀࡓሙྜࡢ࡯࠺ࡀ್ࡣ኱ࡁ࠸ࡇ࡜ࡀࢃ࠿ࡗࡓࠋࡇࢀ࡟ࡼࡾ㸪┤ὶ㏦㟁⥺ୗ≀యࡢ࢖࢜ࣥὶᖏ㟁㟁ᅽࡢᖹᆒ್ࡸ 50%il ್ὀ㸴ࡢண ィ⟬ࢆྍ⬟࡜ࡋࡓࠋ©CRIEPI
24

ὀ㸯㸸Deutsch ࡢ௬ᐃ㸦࢖࢜ࣥࡣ㟁⏺ࡢ኱ࡁࡉ࡟ᙳ㡪ࢆ୚࠼ࡿࡀ㸪㟁⏺ࡢ᪉ྥ࡟ࡣᙳ㡪ࢆ୚࠼࡞࠸㸧ࢆ㐺⏝ࡋ㸪࢖࢜ࣥὶࡀ࡞࠸࡜ࡁࡢ㟁Ẽຊ⥺࡟ἢࡗ࡚㸪㟁⏺࡜࢖࢜ࣥὶࢆィ⟬ࡍࡿࣉࣟࢢ࣒ࣛࠋ
ὀ㸰㸸㏦㟁⥺ᐇつᶍࢫࢣ࣮࡛ࣝ㟁⥺ࡢὀỈㄢ㟁ࡀ࡛ࡁ㸪㟁⥺ࡢࢥࣟࢼ≉ᛶࢆホ౯࡛ࡁࡿ኱ᆺヨ㦂タഛࠋὀ㸱㸸G m ax ࡜ࡣ㸪᭱኱ᑟయ⾲㠃㟁఩ࡢഴࡁࠋ㟁⥺࡜ྠࡌ┤ᚄࡢ෇⟄ࢆࣔࢹࣝ࡜ࡋ㸪⟬ฟࡍࡿࠋὀ㸲㸸2016 ᖺ࡜ 2017 ᖺ࡟෤Ꮨ㸪2017 ᖺ࡟ኟᏘ㸪2020 ᖺ࡟᫓Ꮨ࡜⛅Ꮨ࡜㸪ᅄᏘࢆ㏻ࡌࡓ ᐃࢆᐇ᪋ࠋ
ὀ㸳㸸ヨ㦂࡛ồࡵࡽࢀࡓࢥࣟࢼᨺ㟁ࡢⓎ⏕ࡢࡋࡸࡍࡉࢆ♧ࡍಀᩘࠋ್ࡀ኱ࡁ࠸࡯࡝ࢥࣟࢼࡀⓎ⏕ࡋࡸࡍ࠸≧ែ࡟࠶ࡿࡇ࡜ࢆ♧ࡍࠋ
ὀ㸴㸸50%il ್࡜ࡣ㸪౛࠼ࡤ㸪࢖࢜ࣥὶᖏ㟁㟁ᅽࡢࢹ࣮ࢱࢆᑠࡉ࠸࡯࠺࠿ࡽ୪࡭ࡓ࡜ࡁ㸪ୖ఩ 50%ࡢ㡰఩࡜࡞ࡿ࢖࢜
ࣥὶᖏ㟁㟁ᅽࡢ್ࠋ

䝁䝻䝘䜿䞊䝆
⤖ྜ䝁䞁䝕䞁䝃䜹䝯䝷ヨ㦂㟁⥺┤ὶ㟁ᅽⓎ⏕⿦⨨叩叫㟁ᅽ ᐃ⏝᢬ᢠศᅽჾ

䝏䝵䞊䜽
䝁䜲䝹

䝬䜲䜽䝻䝩䞁
㻤㻚㻜㼙

䝷䝆䜸㞧㡢

㻤㻚㻜㼙
┤ὶ㟁ᅽⓎ⏕
⿦⨨䛾䝍䝑䝥
ษ᭰ኚᅽჾ䜈ෆ⥙㟁ᴟ㻢㻥㻠䃈ᅗ ࢥࣟࢼࢣ࣮ࢪࡢ

౛㟁ᅽไᚚ⿦⨨
䝁䝻䝘
㟁ὶ

┤ὶቑᖜჾ
㟁ᅽグ㘓ィ

ᐃᑠᒇ

㻝㻝㻜P㻲

㻳㻚㻸㻚

ᅗ 㞴╔㞷ࣜࣥࢢ࠿ࡽࡢࢥࣟࢼᨺ㟁ࡢほ

ᐃჾ

㦁㡢ィ

እ⥙㟁ᴟ

 ᅗ ヨ㦂㟁⥺

㞧㡢㟁ᅽ
⤖ྜ⿦⨨

ᐃᅇ㊰

 ᅗ ࢥࣟࢼ㟁ὶࡢ * PD[ ≉ᛶ⾲ . E ್ࡢ⟬ฟ⤖ᯝ

⤫ィ㔞

㻷㼎್

ᖹᆒ್

㻡㻜㻑㼕㼘್

ᶆ‽㟁⥺㼇㻞㼉㻝㻚㻞㻜㻚㻤ᶆ‽㟁⥺䠇䡹䢆䢛䡮䢓䢕⥺㼇㻞㼉

㻠㻚㻥

㻠㻚㻢

ṇᴟᛶ䠖㻠㻤㻚㻝

ṇᴟᛶ䠖㻟㻤㻚㻥㈇ᴟᛶ䠖㻝㻚㻠㈇ᴟᛶ䠖㻝㻚㻝

ᶆ‽㟁⥺䠇㞴╔㞷䢔䢙䡴䢚㛵㐃ሗ࿌᭩㸸
[1] T30ࠕ┤ὶ࢖࢜ࣥὶሙࡢゎᯒᡭἲ࡜┤ὶ㏦㟁⥺࡬ࡢᛂ⏝ࠖ㸦1993.09㸧
[2] H18012ࠕࢫࣃ࢖ࣛࣝ⥺ࡢᙳ㡪ࢆ⪃៖ࡋࡓ┤ὶ㏦㟁⥺ୗࡢ࢖࢜ࣥὶᖏ㟁㟁ᅽࡢணᐇつᶍヨ㦂㏦㟁⥺࡟ࡼࡿᐇ㦂ⓗ᳨ウ̾ࠖ㸦2019.05㸧

ᡭἲࡢ㛤Ⓨ ̾ࢥࣟࢼࢣ࣮ࢪ࡜

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㏦㟁⏝࣐࣮࡛ࣥ࣍ࣝࡢ㐲㝸⤯⦕デ᩿࡟ྥࡅࡓ
㒊ศᨺ㟁Ἴᙧࢹ࣮ࢱࡢᅽ⦰ᡭἲࡢ㛤Ⓨ┿ୗ ㈗ᩥ㸨ᇼ ᗣᙪ㸨࣮࣮࢟࣡ࢻ㸸ᆅ୰㏦㟁タഛ
࣐࣮ࣥ࣍ࣝ
ICT
LPWA
㒊ศᨺ㟁

㧘ᶫ ಇ⿱㸨▼㔝 㝯୍㸨

Key Words㸸Underground power transmission facility
ManholeInformation and communication technology
Low Power Wide Area
Partial discharge

Development of Data Compression Method of Partial Discharge Waveform for Remote
Insulation Diagnosis in Manhole for Power Transmission Cable
Takafumi Mashimo, Toshihiro Takahashi, Ryuichi Ishino and Yasuhiko Hori

Abstract
Partial discharge (PD) measurement is considered to be one of dominant measures for insulation diagnosis of undergroundpower transmission cable system. PD would be a sporadic phenomenon in its early stage, thus its continuous measurement isessential for its rapid understanding. The major PD source would be joints of cable system laid in manholes, which gives
difficulties in transmission of measured PD data from manhole to an aboveground station. LPWA (Low Power Wide Area)technology can realize the data communication between inside manhole and the aboveground station, but its low datatransmission speed brings the limitation of data transmission. Therefore, a data compression method with high efficiency isimportant for continuous PD measurement in a manhole. This report develops a data compression method for PD signals using
Gaussian process regression to overcome the limitation of LPWA. The method could compress the PD data to a minimum of
about 10% in its size and was confirmed that PD signal can be efficiently transmitted using the developed method.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ◊✲ဨ
*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୖᖍ◊✲ဨ ◊✲᥎㐍࣐ࢿ࣮ࢪ࣮ࣕ
*3 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୖᖍ◊✲ဨ*4 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ◊✲⤫ᣓᐊ ව ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୖᖍ◊✲ဨ ศ㔝⤫ᣓ

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⫼  ᬒᆅ୰㏦㟁タഛ࡛ࡣ㸪㟁ຊࢣ࣮ࣈࣝࡢ୰㛫᥋⥆⟽ࡸ⤊➃᥋⥆⟽ࡢ⤒ᖺ࡟ࡼࡿ⤯⦕ᛶ⬟పୗࡀᠱᛕࡉࢀ࡚࠸ࡿࠋ⤯⦕◚ቯࢆᮍ↛࡟㜵Ṇࡍࡿࡓࡵ㸪ࡑࡢ๓㥑⌧㇟࡛࠶ࡿ㒊ศᨺ㟁ࡢ⥅⥆ⓗ࡞ ᐃࡀ㔜せ࡛࠶ࡿࠋࡲࡓ㸪㒊ศᨺ㟁Ⓨ⏕⟠ᡤࡢᶆᐃࡸࣀ࢖ࢬ࡜ࡢᘚู࡟ࡣ㸪㒊ศᨺ㟁Ἴᙧࢆ㧗᫬㛫ศゎ⬟࠿ࡘᑐ㇟タഛࡢ」ᩘ⟠ᡤ࡛ྠ᫬ ᐃࡋ࡚ẚ㍑ホ౯ࡍࡿࡇ࡜ࡀᚲせ࡛࠶ࡿὀ 1㸧ࠋ୍᪉㸪㏆ᖺࡢࢹࢪࢱࣝ໬ࡢ㐍ᒎ࡟క࠸㸪IT ࡸࢭࣥࢧᢏ⾡➼ࡢ ICT ࢆά⏝ࡋ㸪࣐࣮ࣥ࣍ࣝෆࡢ୰㛫᥋⥆⟽࡟࠾ࡅࡿ㒊ศᨺ㟁 ᐃࢆ㐲㝸࠿ࡘࣜ࢔ࣝࢱ࢖࣒࡟⾜࠺ࡇ࡜࡟ࡼࡿຎ໬ࡢ᪩ᮇⓎぢࡀᮇᚅࡉࢀ࡚࠸ࡿࠋ࣐࣮ࣥ࣍ࣝෆࡣࢩࢫࢸ࣒ࡢືస㟁※ࡢ☜ಖࡀᅔ㞴࡛࠶ࡿࡓࡵ㸪 ᐃࡉࢀࡓ㒊ศᨺ㟁Ἴᙧࢹ࣮ࢱࡢᆅୖ࡬ࡢఏ㏦࡟ᾘ㈝㟁ຊࡢᑠࡉ࡞
↓⥺㏻ಙᢏ⾡㸦Low Power Wide Area: LPWA㸧ὀ 2㸧ࢆ㐺⏝ࡍࡿࡇ࡜ࡀ᳨ウࡉࢀ࡚࠸ࡿࠋ୍᪉
࡛㸪LPWA ࡢఏ㏦㏿ᗘࡣప㏿࡛࠶ࡿࡓࡵ㸪㒊ศᨺ㟁Ἴᙧࢹ࣮ࢱࢆ㐺ษ࡟ᅽ⦰ࡍࡿᚲせࡀ
࠶ࡿὀ 3㸧ࠋ┠  ⓗ࣐࣮ࣥ࣍ࣝෆ࡛ ᐃࡉࢀࡓ㒊ศᨺ㟁Ἴᙧࢹ࣮ࢱࢆຠ⋡ⓗ࡟ఏ㏦ࡍࡿࡓࡵࡢࢹ࣮ࢱᅽ⦰
ᡭἲࢆ⪃᱌ࡍࡿ࡜࡜ࡶ࡟㸪ᡭἲࡢ㐺⏝ᛶࢆ᳨ドࡋ㸪LPWA ࢆ⏝࠸ࡓࢹ࣮ࢱఏ㏦ࢩࢫࢸ࣒
࡬ᐇ⿦ࡍࡿࠋ୺࡞ᡂᯝ ຠ⋡ⓗ࡞㒊ศᨺ㟁Ἴᙧࢹ࣮ࢱࡢఏ㏦࡟ྥࡅࡓࢹ࣮ࢱᅽ⦰ᡭἲࡢ⪃᱌࡜㐺⏝ᛶ᳨ド㒊ศᨺ㟁Ⓨ⏕⟠ᡤࡢᶆᐃࡸࣀ࢖ࢬ࡜ࡢᘚู࡟ᚲせ࡞Ἴᙧ᝟ሗὀ 4㸧ࢆಖᣢ࡛ࡁࡿࢹ࣮ࢱᅽ
⦰ᡭἲࢆ⪃᱌ࡋࡓ㸦ᅗ 1㸧ࠋᮏᡭἲ࡛ࡣࢹ࣮ࢱࡢᅽ⦰࡜᚟ඖ࡟࢞࢘ࢫ㐣⛬ᅇᖐὀ 5㸧ࢆ⏝࠸ࡿࡶࡢ࡛࠶ࡾ㸪ᅽ⦰ࡉࢀࡓࢹ࣮ࢱ࠿ࡽඖࡢ」㞧࡞ᙧ≧ࡢἼᙧࢆ᥎ᐃࡍࡿࡇ࡜ࡀ࡛ࡁࡿࠋ
௦⾲ⓗ࡞㒊ศᨺ㟁Ἴᙧࢹ࣮ࢱ 3 ✀㢮࡟ᑐࡋ࡚ᮏᡭἲࢆ㐺⏝ࡋ㸪ࢹ࣮ࢱᅽ⦰≧ἣࡢホ౯ࢆ⾜ࡗࡓ⤖ᯝ㸪Ἴᙧ A ࡛ࡣ 8.6%㸪Ἴᙧ B ࡛ࡣ 7.0%㸪Ἴᙧ C ࡛ࡣ 20.8%ࡲ࡛ࢹ࣮ࢱࢧ࢖ࢬࢆ
ᅽ⦰ࡍࡿࡇ࡜ࡀ࡛ࡁࡓ㸦ᅗ 2㸧ࠋ ࢹ࣮ࢱᅽ⦰ᡭἲࡢ /3:$ ࢆ⏝࠸ࡓࢹ࣮ࢱఏ㏦ࢩࢫࢸ࣒࡬ࡢᐇ⿦
㒊ศᨺ㟁Ἴᙧࢹ࣮ࢱࢆ LPWA࡛ఏ㏦ࡍࡿࢩࢫࢸ࣒ࢆᵓ⠏ࡋ㸪⪃᱌ࡋࡓࢹ࣮ࢱᅽ⦰ᡭἲࢆ
ᐇ⿦ࡋࡓ㸦ᅗ 3㸧ࠋࡇࡢࢩࢫࢸ࣒ࢆ⏝࠸࡚㒊ศᨺ㟁Ἴᙧࢹ࣮ࢱࢆఏ㏦ࡋࡓ࡜ࡇࢁ㸪ఏ㏦᫬
㛫ࢆ 20%௨ୗ࡟▷⦰ࡍࡿࡇ࡜ࡀ࡛ࡁࡓࠋ௨ୖࡢ᳨ウࡼࡾᮏࢩࢫࢸ࣒ࡢᐇ⌧ࡢぢ㏻ࡋࢆᚓࡓࠋ
ὀ 1㸧㧘ᶫಇ⿱࡯࠿㸪㟁ຊࢣ࣮ࣈࣝࡢ⌧ሙຎ໬デ᩿ࡢࡓࡵࡢ㒊ศᨺ㟁 ᐃࡢ㝵ᒙ໬ᡭἲࡢᥦ᱌㸪㟁୰◊ሗ࿌㸪H14017(2015)
ὀ 2㸧పᾘ㈝㟁ຊ࡛ືసࡋ㸪㛗㊥㞳ࡢ↓⥺㏻ಙࡀྍ⬟࡛࠶ࡿ୍᪉࡛㸪ఏ㏦㏿ᗘࡀప㏿࡞㏻ಙ᪉ᘧࠋ࣐࣮ࣥ࣍ࣝෆࡢࡼ࠺
࡞㞀ᐖ≀࡛ᅖࡲࢀࡓ࢚ࣜ࢔࡟ᑐࡋ࡚ࡶ᭷ຠ࡛࠶ࡾ㸪≉ᐃᑠ㟁ຊ↓⥺࡟ࡼࡿࡶࡢࡣ㸪චチ࠾ࡼࡧⓏ㘓ࡀ୙せ࡛࠶ࡿࡓࡵᑟධࢥࢫࢺࡀప࠸ࠋ
ὀ 3㸧౛࠼ࡤ㸪LPWA ࡢఏ㏦㏿ᗘࢆ 100 ࣂ࢖ࢺ㸦௨㝆㸪B㸧/⛊࡜ࡋࡓ࡜ࡁ㸪1 kB ࡢ㒊ศᨺ㟁Ἴᙧࢹ࣮ࢱࢆఏ㏦ࡍࡿࡓࡵ࡟
ࡣ 10 ⛊௨ୖࡢఏ㏦᫬㛫ࢆせࡍࡿࠋࡇࢀ࡟ᑐࡋ࡚⤯⦕యࡢຎ໬ࡢึᮇẁ㝵࡛ࡣ㸪㒊ศᨺ㟁ࡣᩘ⛊࡟ 1 ᅇ⛬ᗘࡢ㢖ᗘ࡛Ⓨ⏕ࡍࡿሙྜࡀ࠶ࡾ㸪ຎ໬ࡢ᪩ᮇⓎぢࡢࡓࡵ࡟ࡣࡇࡢ㢖ᗘ࡛Ⓨ⏕ࡍࡿ㒊ศᨺ㟁ࡢἼᙧࢹ࣮ࢱࢆḞᦆ࡞ࡃఏ㏦ࡍ
ࡿᚲせࡀ࠶ࡿࠋ

©CRIEPI27

ὀ 4㸧 ᮏሗ࿌࡛ࡣ㸪Ἴᙧࡢ❧ࡕୖࡀࡾ᫬㛫࡜➨ 1 ࣆ࣮ࢡ್࡜ࡋࡓࠋ࡞࠾㸪ᮏᡭἲࡣ௵ពࡢἼᙧ᝟ሗࢆ㸪ᅽ⦰࣭᚟ඖᛶࡢ
☜ㄆࣃ࣓࣮ࣛࢱ࡜ࡋ࡚ᣦᐃ࡛ࡁࡿࡓࡵᣑᙇᛶࡀ㧗࠸ࠋ
ὀ 5㸧 ࢧࣥࣉࣜࣥࢢࢹ࣮ࢱ㛫ࡢ┦㛵ࢆ♧ࡍศᩓඹศᩓ⾜ิࢆ⏝࠸࡚ᮍ▱ࡢࢹ࣮ࢱ㸦ᮏᡭἲ࡛ࡣ᚟ඖἼᙧ㸧ࢆ᥎ᐃࡍࡿᅇ
ᖐᡭἲࠋඖἼᙧࡢᙧ≧ࡀ୙᫂࡞ሙྜ࡛ࡶ㐺⏝࡛ࡁࡿࠋ᥎ᐃࡉࢀࡿ᚟ඖἼᙧࡣศᕸ࡜ࡋ࡚ᚓࡽࢀ㸪ࡇࡢศᕸࡢᖹᆒ
ࢆ᚟ඖἼᙧ࡜ࡋࡓࠋࡼࡾᑡ࡞࠸ࢧࣥࣉࣜࣥࢢࢹ࣮ࢱ࡛᚟ඖἼᙧࢆ⢭ᗘࡼࡃ᥎ᐃࡍࡿࡓࡵ࡟ࡣࢧࣥࣉࣜࣥࢢࢹ࣮ࢱ
ࡢ㑅ᢥ᪉ἲࡀ㔜せ࡛࠶ࡾ㸪ᮏᡭἲ࡛ࡣඖἼᙧࡢࣆ࣮ࢡ್ࢆ᭱ึࡢࢧࣥࣉࣜࣥࢢࢹ࣮ࢱ࡜ࡋ㸪᥎ᐃࡉࢀࡓ᚟ඖἼᙧ
ࡢ᥎ᐃ⢭ᗘࡀప࠸⟠ᡤ࠿ࡽ㡰࡟ࢧࣥࣉࣜࣥࢢࢹ࣮ࢱࢆ㏣ຍࡋ࡚࠸ࡃࡇ࡜࡛ຠ⋡ⓗ࡟᚟ඖἼᙧࢆ᥎ᐃ࡛ࡁࡿࠋᅗ  ຠ⋡ⓗ࡞㒊ศᨺ㟁Ἴᙧࢹ࣮ࢱࡢఏ㏦࡟ྥࡅࡓࢹ࣮ࢱᅽ⦰ᡭἲࡢᴫせ㸦ᕥ㸸⪃᱌ࡋࡓᅽ⦰ᡭἲࡢᡭ㡰㸪ྑ㸸ᅽ⦰ᡭἲࢆ㒊ศᨺ㟁Ἴᙧࢹ࣮ࢱ࡟㐺⏝ࡋࡓ౛㸧ᅗ  ྛ✀㒊ศᨺ㟁Ἴᙧࢹ࣮ࢱ࡟ᮏᡭἲ
ࢆ㐺⏝ࡋࡓሙྜࡢࢹ࣮ࢱᅽ⦰≧ἣᅗ  㒊ศᨺ㟁Ἴᙧࢹ࣮ࢱࢆ /3:$ ᪉ᘧ࡛ఏ㏦ࡍࡿࢩࢫࢸ࣒ࡢᴫせ©CRIEPI28

OF ࢣ࣮ࣈ࡛ࣝࡢἜ୰࢞ࢫᣑᩓᣲືࡢゎ᫂-Ἔᾐ⣬ࢆ௓ࡋࡓἜ୰࢞ࢫࡢᣑᩓಀᩘࡢ ᐃ࡜ࣔࢹࣝᐇ㦂⣔࡛ࡢἜ୰࢞ࢫᣑᩓᣲືゎᯒ-∾㔝 ⿱ኴ㸨ᰩཎ 㝯ྐ㸨㧘ᶫ ಇ⿱㸨

Key Words㸸Oil-filled cable
Dissolved gas
Oil-impregnated paper
Diffusion coefficient
Temperature dependence࣮࣮࢟࣡ࢻ㸸OF ࢣ࣮ࣈࣝ
Ἔ୰࢞ࢫ
Ἔᾐ⣬
ᣑᩓಀᩘ
ᗘ౫Ꮡᛶ

Study on Diffusion Behavior of Dissolved Gas in Insulating Oil on Oil-filled Cables- Measurement of Diffusion Coefficients of Dissolved Gas in Insulating Oil through Oilimpregnated Papers and Diffusion Calculation on Coaxial Cylindrical Model Yuta Makino, Takashi Kurihara and Toshihiro Takahashi

Abstract
Insulating oil used for the dissolved gas analysis of oil-filled cables is sampled from cable joints and terminations. Partial
discharges in the insulating layer decompose the insulating oil into gases such as acetylene and hydrogen. The gasses dissolve
into the insulating oil, and they diffuse to the outer insulating oil layer in cable joints and terminations through the electricalinsulation layer consisting of laminated oil-impregnated papers. Therefore, it is important to understand the diffusion
characteristics of dissolved gases in the laminated oil-impregnated insulating paper layer. In this report, the diffusion
coefficients of dissolved acetylene were measured experimentally in the oil through oil-impregnated insulating papers in thelaminated direction and the stratabound direction at a constant temperature. As a result, it was revealed that the diffusion
coefficient of dissolved acetylene in the stratabound direction is higher than that in the laminated direction, both are dependent
on temperature. In addition, the diffusion characteristics of dissolved acetylene in the insulating oil on a coaxial cylindricalmodel was measured at room temperature, and calculated using the diffusion coefficients achieved in the above experiment.
As a result, it was confirmed that the calculated result was similar to the experimental one.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୺௵◊✲ဨ*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୖᖍ◊✲ဨ*3 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୖᖍ◊✲ဨ ◊✲᥎㐍࣐ࢿ࣮ࢪ࣮ࣕ

©CRIEPI29⫼  ᬒOF ࢣ࣮ࣈࣝࡢ⤯⦕ᛶ⬟ࡣ୺࡟Ἔ୰࢞ࢫศᯒ࡟ᇶ࡙࠸࡚⟶⌮ࡉࢀ࡚࠾ࡾὀ1㸧㸪ࡑࡢศᯒᑐ
㇟࡜࡞ࡿ⤯⦕Ἔࡣࢣ࣮ࣈࣝ᥋⥆㒊ࡢಖㆤ㖡⟶࡟௜ᒓࡍࡿ᥇Ἔཱྀ࠿ࡽ᥇ྲྀࡉࢀࡿࠋࢣ࣮ࣈࣝ
⤯⦕య୰࡛␗ᖖࡸຎ໬ࡀ⏕ࡌࡓሙྜ㸪Ⓨ⏕ࡋࡓศゎ࢞ࢫࡣ⤯⦕య࡛࠶ࡿἜᾐ⣬ࢆ௓ࡋ࡚ಖ
ㆤ㖡⟶࡟඘ሸࡉࢀࡓ⤯⦕యእഃࡢἜࡲ࡛ᣑᩓࡋࡓᚋ࡟᳨ฟࡉࢀࡿࠋࡇࡢࡓࡵ㸪Ἔ୰࢞ࢫศ
ᯒࡢ㐺⏝࡟ᙜࡓࡗ࡚ࡣἜᾐ⣬ࢆ௓ࡋࡓἜ୰࢞ࢫࡢᣑᩓᣲືࡢᢕᥱࡀ㔜せ࡛࠶ࡿὀ2㸧ࠋ┠  ⓗᗘ୍ᐃࡢ᮲௳ୗὀ3㸧࡛ࡢἜᾐ⣬ࢆ௓ࡋࡓἜ୰࢞ࢫࡢᣑᩓಀᩘὀ4㸧ࢆᇶ♏ᐇ㦂⣔࡛ྲྀᚓࡋ㸪ࡑࡢᣑᩓಀᩘࢆ⏝࠸ࡓἜ୰࢞ࢫᣑᩓᣲືࡢゎᯒࡢጇᙜᛶࢆࣔࢹࣝᐇ㦂⣔࡛☜ㄆࡍࡿࠋ୺࡞ᡂᯝ ᇶ♏ᐇ㦂⣔࡟ࡼࡿἜᾐ⣬ࢆ௓ࡋࡓἜ୰࢞ࢫࡢᣑᩓಀᩘ࡜ࡑࡢ ᗘ౫Ꮡᛶࡢྲྀᚓ
㒊ศᨺ㟁࡞࡝࡟ࡼࡗ࡚Ⓨ⏕ࡍࡿ௦⾲ⓗ࡞ศゎ࢞ࢫࡢ୍ࡘ࡛࠶ࡿ࢔ࢭࢳࣞࣥࢆ⁐ゎࡉࡏࡓ⤯⦕Ἔࢆ⏝࠸࡚㸪ᇶ♏ᐇ㦂⣔࡛Ἔᾐ⣬ࡢ✚ᒙ᪉ྥ࠾ࡼࡧἢᒙ᪉ྥࡢᣑᩓಀᩘࢆ ᐃࡋࡓ㸦ᅗ1㸧ࠋࡑࡢ⤖ᯝ㸪ἢᒙ᪉ྥ࡬ࡢᣑᩓಀᩘࡣ✚ᒙ᪉ྥ࡬ࡢᣑᩓಀᩘࡼࡾࡶ஧᱆⛬ᗘ኱ࡁࡃ㸪ࡲࡓ㸪ࡑࢀࡒࢀࡢᣑᩓಀᩘࡣ⤯⦕Ἔࡢ ᗘࡢୖ᪼࡜࡜ࡶ࡟ቑ኱ࡋࡓ㸦ᅗ 1㸧ࠋ ࣔࢹࣝᐇ㦂⣔࡟ࡼࡿୖグࡢᣑᩓಀᩘࢆ⏝࠸ࡓἜ୰࢞ࢫᣑᩓᣲືࡢゎᯒࡢጇᙜᛶ☜ㄆᑟయഃ࠿ࡽἜᾐ⣬ࢆ௓ࡋ࡚⤯⦕యእഃࡢ⤯⦕Ἔ࡟Ἔ୰࢞ࢫࢆᣑᩓࡉࡏࡿྠ㍈෇⟄ᙧ≧ࡢᐇ㦂⣔㸦ᅗ 2㸧ࢆᵓ⠏ࡋ㸪እἜࡢ࢔ࢭࢳࣞࣥ⃰ᗘࡢ⤒᫬ⓗኚ໬ࢆ ᐃࡋࡓὀ5㸧ࠋࡇࡢ⤖ᯝࢆ㸪ୖグࡢᣑᩓಀᩘࢆ⏝࠸ࡓἜ୰࢞ࢫࡢᣑᩓᣲືゎᯒࡼࡾᚓࡽࢀࡓ⤖ᯝὀ6㸧࡜ẚ㍑ࡋࡓ࡜ࡇࢁ㸪ᴫࡡ୍⮴ࡋࡓ㸦ᅗ 3㸧ࠋࡇࢀࡼࡾ㸪ᇶ♏ᐇ㦂⣔࡛ྲྀᚓࡋࡓᣑᩓಀᩘࢆ⏝࠸ࡓἜ୰࢞ࢫᣑᩓᣲ
ືࡢゎᯒ࡟ࡼࡗ࡚㸪ᐇᶵ OF ࢣ࣮ࣈ࡛ࣝࡢἜ୰࢞ࢫᣑᩓᣲືࢆᢕᥱ࡛ࡁࡿぢ㏻ࡋࢆᚓࡓࠋ
௒ᚋࡣ㸪 ᗘኚ໬ࢆక࠺ሙྜࡢἜ୰࢞ࢫࡢᣑᩓᵝ┦ࢆᢕᥱࡍࡿ࡜࡜ࡶ࡟㸪Ἔ୰࢞ࢫᣑᩓ
ᣲືࡢゎᯒ࡟ࡼࡗ࡚ᐇᶵ OF ࢣ࣮ࣈ࡛ࣝࡢἜ୰࢞ࢫᣑᩓᣲືࢆゎ᫂ࡍࡿࠋὀ1㸧ᨺ㟁ࡸ␗ᖖ㐣⇕࡟ࡼࡗ࡚⤯⦕Ἔࡸ⤯⦕⣬ࡀศゎࡉࢀࡿ࡜࢞ࢫ㸦Ỉ⣲㸪Ⅳ໬Ỉ⣲㸪୍㓟໬Ⅳ⣲࡞࡝㸧ࡀⓎ⏕ࡋ࡚⤯⦕Ἔ࡟⁐ゎࡍࡿࠋࡑࡇ࡛㸪Ἔ୰࢞ࢫศᯒ࡟ࡼࡗ࡚ᢕᥱࡋࡓἜ୰࢞ࢫࡢᡂศࡸ㔞࡟ᇶ࡙࠸࡚␗ᖖ࣭ຎ໬≧ែࢆ᥎ᐃࡍࡿࠋ
ὀ2㸧ࢩࣜࢥ࣮ࣥἜ࡟⁐Ꮡࡋࡓ࢔ࢭࢳࣞࣥࡀἜᾐ⣬ࢆ௓ࡋ࡚ᣑᩓࡍࡿሙྜࡢᣑᩓಀᩘࡣ ᐃࡉࢀࡓ౛ࡀ࠶ࡿ[1]ࡶࡢࡢ㸪OF
ࢣ࣮ࣈࣝ⏝ྜᡂἜ㸦࢔ࣝ࢟ࣝ࣋ࣥࢮࣥ㸧ࢆ⏝࠸ࡓ᳨ウ࠾ࡼࡧ ᗘ౫Ꮡᛶࡢ᳨ウࡣࡇࢀࡲ࡛࡟ᐇ᪋ࡉࢀ࡚࠸࡞࠸ࠋ
[1] ᑠ㔝⏣௚㸪ࠕ㉸㧗ᅽ CV ࢣ࣮ࣈࣝ⏝Ἔᾐ⤊➃᥋⥆⟽ࡢຎ໬⌧㇟࡟ࡘ࠸࡚ࠖ
㸪㟁ẼᏛ఍ B 㒊㛛኱఍㸪282 (2009)ὀ3㸧OF ࢣ࣮ࣈ࡛ࣝࡣ㸪⤯⦕Ἔࡣ⤥Ἔタഛ࡟ࡼࡗ࡚ຍᅽࡉࢀ࡚࠸ࡿࡶࡢࡢ⤯⦕Ἔࡢᙉไⓗ࡞ᚠ⎔ࡣ࡞࠸ࠋ㏻㟁᫬ࡢࣄ࣮ࢺ
ࢧ࢖ࢡࣝࡸᕸタሙᡤࡢ ᗘኚ໬࡟క࠺⤯⦕Ἔࡢ⭾ᙇ࣭཰⦰࡟ࡼࡿ⛣ືࡣู㏵᳨ウࡍࡿᚲせࡀ࠶ࡿࡀ㸪ᮏ᳨ウ࡛ࡣ㸪ᇶ♏᳨ウ࡜ࡋ࡚㸪 ᗘ୍ᐃࡢ᮲௳ୗ࡛ᣑᩓಀᩘࢆ ᐃࡋࡓࠋ
ὀ4㸧༢఩᫬㛫ᙜࡓࡾ࡟༢఩㠃✚ࢆ㏻㐣ࡍࡿ≀㉁ࡢ㔞ࡣ㸪ࡑࡢ༢఩㠃✚⾲㠃࡛ࡢ⃰ᗘ໙㓄࡟ẚ౛ࡋ࡚⛣ືࡍࡿ≀㉁㔞࡟➼ࡋ࠸ࠋࡇࡢẚ౛ᐃᩘࡀᣑᩓಀᩘ࡛࠶ࡿࠋᣑᩓಀᩘࡀ኱ࡁ࠸࡯࡝ᣑᩓࡋࡸࡍ࠸ࠋ
ὀ5㸧Ἔᾐ⣬୰࡟ࡣ࢔ࢭࢳࣞࣥࡀᆒ୍⃰ᗘ࡛Ꮡᅾࡋ㸪ෆ࣭እࡢ⤯⦕Ἔ࡟ࡣ࢔ࢭࢳࣞࣥࡀᏑᅾࡋ࡞࠸᮲௳㸦᪂Ἔ㸧࡛ ᐃࠋὀ6㸧Ἔ୰࢞ࢫࡢᣑᩓᣲືࡢゎᯒ࡟ࡣ COMSOL Multiphysics®ࢆ⏝࠸ࡓࠋ

©CRIEPI30

Ἔᾐ⣬䜢௓䛧䛯䜰䝉䝏䝺䞁䛾ᣑᩓಀᩘ*2[m2/s]

10-8

ᣑᩓ᪉ྥ

ἢᒙ᪉ྥ
⤯⦕Ἔ*1

10-9

䝟䝑䜻䞁
Ἔᾐ⣬*1

10-10

㔠ᒓᯈ

10-11

✚ᒙ᪉ྥ

✰

⤯⦕Ἔ*1

Ἔᒙ

⤯⦕Ἔ*1

䝟䝑䜻䞁
Ἔᾐ⣬*1

10-12

0

20
40
60
⤯⦕Ἔ䛾 ᗘ*3 [ႏ]

80

Ἔᒙ

ᣑ
ᩓ
᪉
ྥ

⤯⦕Ἔ*1

✰

*1 ⤯⦕Ἔ䛻䛿OF䜿䞊䝤䝹⏝ྜᡂἜ䠈⤯⦕⣬䛻䛿䜽䝷䝣䝖⣬䜢౑⏝䚹䠄⤯⦕Ἔ䛜ྵᾐ䛥䜜䛯⤯⦕⣬䜢Ἔᾐ⣬䛸࿧⛠䚹䠅
*2 ∦᪉䛾Ἔᒙ䛾⤯⦕Ἔ䛻䛰䛡䜰䝉䝏䝺䞁䜢⁐ゎ䛧䠈୍ᐃᮇ㛫㟼⨨ᚋ䛻୧Ἔᒙ䛾䜰䝉䝏䝺䞁⃰ᗘ䜢 ᐃ䛧䛶ᣑᩓಀᩘ䜢⟬ฟ䚹
*3 ⤯⦕Ἔ䛾 ᗘ䛿䠈OF䜿䞊䝤䝹䛾ᖖ᫬䛾ᑟయ᭱㧗チᐜ ᗘ䛷䛒䜛80ႏ䜒䛧䛟䛿85ႏ䠄㟁ᅽ㝵⣭䛻䜘䜛䠅䜢⪃៖䛧䛶タᐃ䚹ᅗ  Ἔᾐ⣬ࢆ௓ࡋࡓ࢔ࢭࢳࣞࣥࡢᣑᩓಀᩘࡢ ᐃ⤖ᯝ

130 mm
50 mm
5 mm

䝔䝣䝻䞁䝔䞊䝥

᥇Ἔཱྀ⤯⦕యእഃ䛾⤯⦕Ἔ䠄እἜ䠅
¾ య✚䠖⣙3.2 Lᖜᗈ䛾Ἔᾐ⣬

ᑟయ
2 mm

䜰䝉䝏䝺䞁⁐Ꮡ⤯⦕Ἔᤄධ⏝䛾㓄⟶⁁
180 mm
220 mm
300 mmྠ㍈෇⟄ᙧ≧䛾ᐇ㦂⣔䛾᩿㠃⁁䠄ᖜ19.8 mm䠈῝䛥2.6 mm䠅
¾ య✚䠖7.66㽢10-3 Lᅗ  ᑟయഃ࠿ࡽἜᾐ⣬ࢆ௓ࡋ࡚እἜ࡟Ἔ୰࢞ࢫࢆᣑᩓࡉࡏࡿྠ㍈෇⟄ᙧ≧ࡢᐇ㦂⣔ᅗ  ྠ㍈෇⟄ᙧ≧ࡢᐇ㦂⣔࡟࠾ࡅࡿᐇ㦂⤖ᯝ࡜ゎᯒ⤖ᯝ

©CRIEPI31㉸㧗ᅽ CV ࢣ࣮ࣈࣝࡢ✵㛫㟁Ⲵ ᐃ࡟࠾ࡅࡿ㐣Ώ ᗘ᮲௳ୗ࡛ࡢಙྕ⿵ṇἲࡢ㛤Ⓨ᳃⏣ ⩧ு㸨ᕸ᪋ ๎୍㸨㧘ᶫ ಇ⿱㸨✑✚ ┤⿱㸨࣮࣮࢟࣡ࢻ㸸㉸㧗ᅽ┤ὶ CV ࢣ࣮ࣈࣝ㐣Ώ ᗘ᮲௳
✵㛫㟁Ⲵ ᐃ
ࣃࣝࢫ㟼㟁ᛂຊἲ

Key Words㸸HVDC XLPE cables
Transient temperature conditions
Space charge measurement
Pulsed electro-acoustic method

Development of Signal Correction Method under Transient Temperature Conditions forSpace Charge Measurement of XLPE cables

Shosuke Morita, Norikazu Fuse, Toshihiro Takahashi and Naohiro Hozumi

Abstract
This report presents the signal correction method of the pulsed electro-acoustic method for space charge measurement offull-size XLPE cables under transient temperature conditions. A general measurement under steady-state temperaturenecessitates the reference waveform at the measuring temperature for correction. Unlike the steady-state measurement, thereference waveform at the measuring temperature is unobtainable in transient temperature. Hence, we took an approach to
apply the reference waveform measured at the ambient temperature for the signal correction of different temperatures up to
90 °C, which is the maximum conductor temperature of HVDC XLPE cables. For the accurate signal correction, temperature
characteristics of the system’s impulse response should be considered for this approach. Therefore, we experimentallymeasured the reference waveforms about every 3 hours for 100 hours under ambient and high-load temperature conditions
before and after the 460 kV application by means of the differential method. As a result, the temperature characteristics were
not significant in this series of experiments. Furthermore, we measured signals under the 24-hour load-cycle condition as an
example of the measurement under transient temperature. We applied the proposed signal correction and obtained a spacecharge profile under transient temperature conditions.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ◊✲ဨ
*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୺௵◊✲ဨ*3 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୖᖍ◊✲ဨ ◊✲᥎㐍࣐ࢿ࣮ࢪ࣮ࣕ
*4 ㇏ᶫᢏ⾡⛉Ꮫ኱Ꮫ 㟁Ẽ࣭㟁Ꮚ᝟ሗᕤᏛ⣔ ᩍᤵ©CRIEPI32⫼  ᬒ࣮࢝࣎ࣥࢽ࣮ࣗࢺࣛࣝࡢᐇ⌧࡟ྥࡅ࡚෌⏕ྍ⬟࢚ࢿࣝࢠ࣮ࡢᑟධࡀᣑ኱ࡋ࡚࠾ࡾ㸪ὒୖ㢼ຊⓎ㟁ࡢ㐺ᆅ࠿ࡽ㟂せᆅࡲ࡛ࡢ㉸㧗ᅽ┤ὶ CV ࢣ࣮ࣈࣝ࡟ࡼࡿ㧗ຠ⋡㛗㊥㞳㟁ຊ㍺㏦ࡀὀ┠ࡉࢀ࡚࠸ࡿࠋ┤ὶ CV ࢣ࣮ࣈ࡛ࣝࡣ⤯⦕యෆ㒊ࡢ✵㛫㟁Ⲵ⵳✚⌧㇟ὀ1㸧࡟ࡼࡿ⤯⦕ᛶ⬟పୗࡢྍ⬟ᛶࡀᣦ᦬ࡉࢀ࡚࠸ࡿࠋࡑࡇ࡛ᙜᡤ࡛ࡣ㸪✵㛫㟁Ⲵᣲືࢆ⪃៖ࡋࡓ┤ὶCV ࢣ࣮ࣈࣝ⤯⦕ᛶ⬟ホ౯ἲࡢ☜❧࡟ྥࡅ㸪ࣃࣝࢫ㟼㟁ᛂຊἲὀ2㸧ࢆ㐺⏝ࡋࡓᐃᖖ ᗘ᮲௳ୗ࡛ࡢ✵㛫㟁Ⲵホ౯ἲࢆ㛤Ⓨࡋ࡚ࡁࡓὀ3㸧ࠋࡇࡇ࡛㸪ᐇ㐠㌿୰ࡢ㈇Ⲵኚື࡟ࡼࡿࢣ࣮ࣈࣝࡢ ᗘࡀ᫬㛫ኚ໬ࡍࡿ≧ἣ㸪ࡍ࡞ࢃࡕࣄ࣮ࢺࢧ࢖ࢡࣝ௜୚᫬ࡢ✵㛫㟁Ⲵ ᐃ࡟࠾࠸࡚ࡣ㸪 ᐃಙྕ࠿ࡽ㟁Ⲵ࣭㟁⏺ศᕸ࡬ࡢኚ᥮㐣⛬࡛ ᗘࡢ᫬㛫ኚ໬࡟ࡼࡿᙳ㡪ࡀ᝿ᐃࡉࢀ
ࡿࡶࡢࡢ㸪ࡑࡢᐃ㔞ⓗ࡞ホ౯ࡣ࡞ࡉࢀ࡚࠸࡞࠸ࠋ┠  ⓗ┤ὶ CV ࢣ࣮ࣈࣝࡢ㐠㌿᫬ࢆ᝿ᐃࡋࡓ㐣Ώ ᗘ᮲௳ୗὀ4㸧࡛ࡢࣃࣝࢫ㟼㟁ᛂຊἲࡢ㐺⏝ࢆᛕ㢌࡟㸪ࡇࡢ ᗘኚ໬ࡀ ᐃಙྕ࠿ࡽ✵㛫㟁Ⲵ࣭㟁⏺ศᕸ࡬ࡢኚ᥮⤖ᯝ࡟୚࠼ࡿᙳ㡪ࢆ᫂ࡽ࠿࡟ࡍࡿࠋࡇࢀ࡟ᇶ࡙ࡁ㸪ࣄ࣮ࢺࢧ࢖ࢡࣝ௜୚᫬ࡢ㐣Ώ ᗘ᮲௳ୗ࡟࠾࠸࡚ ᐃࡀྍ⬟࡛࠶ࡿࡇ࡜ࢆᐇドࡍࡿࠋ୺࡞ᡂᯝ ࢣ࣮ࣈࣝ ᗘࡀ ᐃಙྕࡢ✵㛫㟁Ⲵ࣭㟁⏺ศᕸ࡬ࡢኚ᥮⤖ᯝ࡬୚࠼ࡿᙳ㡪ࡢᢕᥱ275 kV ⣭஺ὶ CV ࢣ࣮ࣈࣝὀ5㸧࡟ᑐࡋ㸪ᖖ (5 ႏ)࡜㧗 (ᑟయ ᗘ 90 ႏ)ὀ6㸧࡟࡚ィ 100 ᫬㛫࡟ࢃࡓࡗ࡚✵㛫㟁Ⲵ࠾ࡼࡧཧ↷ಙྕὀ7㸧ࡢ ᐃࢆᐇ᪋ࡋࡓ(ᅗ 1㸪ᅗ 2)ࠋᖖ ࡜㧗 ᮲௳ୗ࡛ࡑࢀࡒࢀ᭱ึ࡟ᚓࡓཧ↷ಙྕࢆ⏝࠸࡚㸪㧗ᐃ㛤ጞ᫬(ᅗ 1 ࡢ 72 ᫬㛫᫬Ⅼ)ࡢ ᐃಙྕࢆ✵㛫㟁Ⲵ࣭㟁⏺ศᕸ࡬ኚ᥮ࡋࡓ(ᅗ 3)ࠋࡑࡢ⤖ᯝ㸪ࡑࢀࡒࢀࡢཧ↷ಙྕ࠿ࡽᚓࡽࢀ
ࡿ㟁⏺ศᕸࡢ೫ᕪࡢᶆ‽೫ᕪࡣ 2.0 kV/mm ࡛㸪ᖹᆒ㟁⏺(20 kV/mm)ࡢ 10 %⛬ᗘ࡟┦ᙜࡋ㸪ẚ㍑ⓗᑠࡉ࠸ࡇ࡜ࡀࢃ࠿ࡗࡓࠋ ࣄ࣮ࢺࢧ࢖ࢡࣝ௜୚᫬ࡢ㐃⥆ⓗ࡞㟁⏺ศᕸ ᐃࡢᐇドࣄ࣮ࢺࢧ࢖ࢡࣝ௜୚᫬࡟㐃⥆ⓗ࡞✵㛫㟁Ⲵ ᐃࢆᐇ᪋ࡋ࡚ᚓࡽࢀࡓ ᐃಙྕࢆ㸪ᖖ࡛ᚓࡽࢀࡓཧ↷ಙྕࢆ⏝࠸࡚㟁Ⲵ࣭㟁⏺ศᕸ࡬ኚ᥮ࡋࡓࠋࡑࡢ⤖ᯝ㸪ࣄ࣮ࢺࢧ࢖ࢡࣝ௜୚᫬ࡢ ᗘኚ໬࡟క࠺㟁⏺ศᕸኚ໬ࡀᚓࡽࢀ(ᅗ 4)㸪㐣Ώ ᗘ᮲௳ୗ࡟࠾ࡅࡿ✵㛫㟁Ⲵᐃࡀྍ⬟࡛࠶ࡿࡇ࡜ࢆᐇドࡋࡓࠋ௒ᚋࡢᒎ㛤ྛ✀ ᗘ᮲௳ୗࡢ✵㛫㟁Ⲵ⵳✚⌧㇟ࢆゎ᫂ࡋ㸪 ᗘ࡟ࡼࡿ┤ὶ CV ࢣ࣮ࣈࣝࡢ⤯⦕ᛶ⬟࡬ࡢᙳ㡪ࢆゎ᫂ࡍࡿࠋ©CRIEPI33

ᅗ  ㄢ㟁㟁ᅽཬࡧᑟయ ᗘ࡞࡝ࢆኚ໬ࡉࡏࡓሙྜࡢཧ↷ಙྕ ᐃࢱ࢖࣑ࣥࢢᅗ  ࢣ࣮ࣈࣝ࡜ ᐃ⿦⨨ࡢ㓄⨨≧ἣᅗ  ᖖ ࣭㧗 ᮲௳ୗࡢཧ↷ಙྕ࡟ࡼࡿ㟁⏺ศᕸᅗ   ᫬㛫ࣄ࣮ࢺࢧ࢖ࢡࣝ௜୚᫬ࡢ㟁⏺ศᕸኚ

ὀ1㸧⤯⦕య୰ࡢ㟁Ⲵ(✵㛫㟁Ⲵ)ࡀ⵳✚ࡋࡓ࡜ࡁ㸪⤯⦕యෆࡢ㟁⏺ࡣ✵㛫㟁Ⲵࡀᙧᡂࡍࡿ㟁⏺࡜እ㒊㟁⏺ࡀ㔜␚ࡋࡓศᕸ
࡜࡞ࡾ㸪⤯⦕యෆ㒊ࡢ㟁⏺ࡣኚṍࡍࡿࠋࡇࡢ㟁⏺ኚṍࡀ⤯⦕యࡢ⤯⦕ᛶ⬟࡬ᙳ㡪ࢆཬࡰࡍ࡜⪃࠼ࡽࢀ࡚࠸ࡿࠋ
ὀ2㸧⤯⦕య࡟ࣃࣝࢫ㟁ᅽࢆ༳ຍࡋࡓ࡜ࡁ࡟⤯⦕యෆ㒊ࡢ㟁Ⲵࡀࢡ࣮ࣟࣥຊࡼࡗ࡚Ⓨࡍࡿ㡢Ἴࢆᅽ㟁⣲Ꮚ࡛ ᐃࡍࡿࡇ࡜
࡛㸪⤯⦕యෆ㒊ࡢ㟁Ⲵศᕸࢆ᥎ᐃࡍࡿᡭἲࠋPEA (Pulsed electro-acoustic)ἲ࡜ࡶ࿧ࡤࢀࡿࠋ
ὀ3㸧౛࠼ࡤ㸪᳃⏣௚.ࠕᐇつᶍ XLPE ࢣ࣮ࣈࣝࡢ✵㛫㟁Ⲵィ ࡟࠾ࡅࡿ⿵ṇ⏝ཧ↷Ἴᙧࡢ ᐃ᪉ἲ࡜ ᐃ㟁⏺࡟㛵ࡍࡿ᳨ウ㺁,௧࿴ 3 ᖺ㟁ຊ࣭࢚ࢿࣝࢠ࣮㒊㛛኱఍ㄽᩥ㞟, 2WEB8-1, 2021.
ὀ4㸧CV ࢣ࣮ࣈࣝࡢᖖ᫬チᐜᑟయ ᗘࡣ᭱㧗࡛ 90 ႏ࡛࠶ࡿࡓࡵ㸪ᖖ - 90 ႏࡢ ᗘ⠊ᅖ࡟࠾ࡅࡿ㐣Ώ ᗘ᮲௳࡜ࡍࡿࠋ
ὀ5㸧௒ᅇ㸪ᑟయ᩿㠃✚ 600 mm2㸪⤯⦕ཌ 23 mm ࡢ 275 kV ⣭஺ὶ CV ࢣ࣮ࣈࣝࢆ⏝࠸ࡓࠋ୍⯡ⓗ࡟஺ὶ CV ࢣ࣮ࣈࣝࡢ⤯⦕యࡣ✵㛫㟁Ⲵࡀ⵳✚ࡋࡸࡍ࠸࡜ゝࢃࢀ࡚࠾ࡾ㸪✵㛫㟁Ⲵᣲືࢆ᫂░࡟ほᐹࡍࡿ┠ⓗ࡛஺ὶ CV ࢣ࣮ࣈࣝࢆ⏝࠸ࡓࠋ
ὀ6㸧ኚὶჾࢆ฼⏝ࡋ࡚஺ὶ㟁ὶࢆᑟయ࡟㏻㟁ࡍࡿࡇ࡜࡛ࢣ࣮ࣈࣝࡢᑟయࢆຍ⇕ࡋࡓࠋヨ㦂ࢣ࣮ࣈࣝ࡜ྠᵝࡢ⇕ⓗ᮲௳࡜࡞ࡿࢲ࣑࣮ࢣ࣮ࣈࣝࡢᑟయ ᗘࡀ 90 - 92 ႏࡢ⠊ᅖ࡜࡞ࡿࡼ࠺࡟ ON/OFF ไᚚࡋࡓࠋ
ὀ7㸧 ᐃಙྕ࠿ࡽ㟁Ⲵ࣭㟁⏺ศᕸ࡬ࡢኚ᥮࡟⏝࠸ࡿಙྕ࡛㸪✵㛫㟁Ⲵ⵳✚ࡀ࡯ࡰ࡞࠸᮲௳(ప㟁ᅽ࠿ࡘ▷᫬㛫)࡛ࡢ ᐃ࡛ᚓࡽࢀࡿࠋཧ↷ಙྕ࠿ࡽᢳฟྍ⬟࡞ ᐃ⣔ࡢ࢖ࣥࣃࣝࢫᛂ⟅࡜⤯⦕యࡢ㡢㡪ఏᦙ≉ᛶࢆ⏝࠸࡚ ᐃಙྕࢆ⿵ṇࡍࡿࡇ࡜࡛㸪㟁Ⲵ࣭㟁⏺ศᕸ࡬ኚ᥮࡛ࡁࡿࠋ ᗘ࡟ࡼࡿ⤯⦕యࡢ㡢㡪ఏ᧛≉ᛶࡢኚ໬ࢆ⪃៖ࡍࡿᡭἲࡣ᳨ウ౛ࡀ࠶ࡿ୍᪉㸪࢖ࣥࣃࣝࢫᛂ⟅࡟㛵ࡍࡿ᳨ウ౛ࡣ࡞࠸ࠋ(᳃⏣௚.ࠕ㉸㧗ᅽ┤ὶࢣ࣮ࣈࣝ⏝✵㛫㟁Ⲵィ ࡟࠾ࡅࡿ ᗘ໙㓄ୗ࡛ࡢಙྕṍࡳࡢ⿵ṇ᪉ἲࡢ᳨ウࠖ 㟁ẼᏛ఍ㄽᩥㄅ㹀㸦㟁ຊ࣭࢚ࢿࣝࢠ࣮㒊㛛ㄅ , 140 ᕳ 4 ྕ, p. 271-276, 2020)㛵㐃ሗ࿌᭩㸸
[1] W95011ࠕ㉸㧗ᅽ⣭ CV ࢣ࣮ࣈࣝࡢ✵㛫㟁Ⲵ ᐃᢏ⾡ࡢ㛤Ⓨ㸫ཌ⫗⤯⦕ࢣ࣮ࣈࣝࡢࡓࡵࡢಙྕ⿵ṇ࢔ࣝࢦࣜࢬ࣒ࡢ㛤Ⓨࠖ(1996.04)[2] H19004ࠕ㧗㟁ᅽ┤ὶศ㔝࡟࠾ࡅࡿᅛయ⤯⦕ᢏ⾡ࡢㄢ㢟㸫ㄪᰝ⤯⦕యࡢᖏ㟁⌧㇟࡜✵㛫㟁Ⲵィ 㸫ࠖ(2020.03)©CRIEPI34

✵㛫㟁Ⲵ ᐃ࡟ᇶ࡙ࡃࢣ࣮ࣈࣝ⤯⦕యࡢ㟁⏺ศᕸ᥎ᐃ࡟࠾ࡅࡿゎᯒ⢭ᗘホ౯᪉ἲࡢ⪃᱌ᕸ᪋ ๎୍㸨  ᳃⏣ ⩧ு㸨㧘ᶫ ಇ⿱㸨  ✑✚ ┤⿱㸨ᐑᔘ ᝅ㸨

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㇏ᶫᢏ⾡⛉Ꮫ኱Ꮫ 㟁Ẽ࣭㟁Ꮚ᝟ሗᕤᏛ⣔ ᩍᤵ©CRIEPI
35

⫼  ᬒḢ⡿࡞࡝࡛ᑟධࡀ㐍ࢇ࡛࠸ࡿ┤ὶ⏝ &9 ࢣ࣮ࣈࣝ࡟ࡘ࠸࡚ࡣ㸪⤯⦕యෆࡢᖏ㟁⌧㇟࡛࠶ࡿ✵㛫㟁Ⲵ⵳✚ࡀ⤯⦕⪏ຊ࡟ᙳ㡪ࢆཬࡰࡍ࡜ᣦ᦬ࡉࢀ࡚࠸ࡿ  ࠋࡑࡇ࡛㸪ࢣ࣮ࣈࣝࡢ
ᙧᘧヨ㦂࡜࡜ࡶ࡟✵㛫㟁Ⲵ⵳✚࡜ࡑࢀ࡟ࡼࡿ㟁⏺ᙉㄪ⛬ᗘࢆ㏣ຍホ౯ࡍࡿࡇ࡜ࡀ᳨ウࡉࢀ࡚࠸ࡿ  ࠋࡑࡢࡓࡵ㸪௒ᚋ㸪✵㛫㟁Ⲵ ᐃ࡟ᇶ࡙ࡃ㟁⏺ศᕸゎᯒࡢ⢭ᗘࢆᢕᥱࡍࡿࡇ
࡜ࡀồࡵࡽࢀࡿࠋᚑ᮶㸪㏫ၥ㢟ࢆᢅ࠺ࡇࡢゎᯒࡣゎἲࡢᏳᐃᛶ࡟ၥ㢟ࡀ࠶ࡗࡓࠋࡋ࠿ࡋ㸪ィ⟬ᢏ⾡ࡢ㐍Ṍ࡟ࡼࡾࡇࢀࡀゎỴࡋከ㔞ࢹ࣮ࢱࡢゎᯒࡶ࡛ࡁࡿࡼ࠺࡟࡞ࡾ  㸪ゎᯒ⢭ᗘࡀホ౯࡛ࡁࡿぢ㏻ࡋࡀ❧ࡗ࡚ࡁࡓࠋ┠  ⓗ✵㛫㟁Ⲵ ᐃ⤖ᯝ࡟ᇶ࡙ࡃ㟁⏺ศᕸ᥎ᐃࡢ⢭ᗘ᳨ドἲࢆ⪃᱌ࡍࡿࠋࡲࡓ㸪⪃᱌ࡋࡓᡭἲࡢ᭷ຠᛶࢆ㸪&9 ࢣ࣮ࣈࣝࡼࡾᚓࡓ✵㛫㟁Ⲵಙྕࢹ࣮ࢱࢆ⏝࠸᳨࡚ドࡍࡿࠋ୺࡞ᡂᯝ ✵㛫㟁Ⲵ ᐃ࡟ᇶ࡙ࡃ㟁⏺ศᕸ᥎ᐃࡢ⢭ᗘ᳨ドἲࡢ⪃᱌ࣃࣝࢫ㟼㟁ᛂຊἲ  ࡟ᇶ࡙ࡃ✵㛫㟁Ⲵ ᐃ࡛ࡣ㸪⤯⦕యෆ࡟㟁Ⲵࡀ⵳✚ࡋ࡞࠸⛬ᗘࡢ┤ὶ㟁ᅽ V/ ࢆෆ㒊ᑟయ࡟༳ຍࡋ㸪 ᐃ⣔ࡢ࢖ࣥࣃࣝࢫᛂ⟅ࢆྲྀᚓࡍࡿࠋࡇࡢ㏻ᖖࡢᡭ㡰࡛ྲྀᚓࡉࢀࡓከ㔞ࡢࢹ࣮ࢱࢆά⏝ࡋ㸪⮬ືゎᯒࡍࡿࡇ࡜࡛㸪ࢣ࣮ࣈࣝෆ㒊ࡢ㟁⏺ศᕸࡢ᥎ᐃ⢭ᗘࢆ᳨ドࡍࡿ᪉ἲࢆ⪃᱌ࡋࡓ㸦ᅗ 㸧ࠋ ⪃᱌ᡭἲࡢ᭷ຠᛶホ౯஺ὶ N9 ⏝ &9 ࢣ࣮ࣈࣝ  ࡟ V/ N9 ࢆ༳ຍࡋ✵㛫㟁Ⲵࢹ࣮ࢱࢆᚓ㸪⪃᱌ᡭἲ࡟ᇶ࡙
࠸࡚㟁⏺ศᕸࡢ᥎ᐃ⢭ᗘࢆホ౯ࡋࡓ㸦ᅗ 㸧ࠋ㟁Ⲵศᕸࡢ✚ศ࡛ᚓࡓ㟁⏺ศᕸ࡜⌮ㄽ್ࢆ」ᩘࢹ࣮ࢱ࡛ẚ㍑ࡋࡓ࡜ࡇࢁ  㸪᥎ᐃ⢭ᗘ㸦ಙ㢗༊㛫㸧ࡀ ࡜ồࡲࡗࡓࠋࡲ
ࡓ㸪࢖ࣥࣃࣝࢫᛂ⟅ ᐃࡢ㟁ᅽ V/ ࡼࡾ㧗࠸༳ຍ㟁ᅽ㸦V+ N9 㸧࡛ࡢࢹ࣮ࢱ࡛ࡶゎᯒ⢭ᗘࡀୖグ࡜ྠ➼࡛࠶ࡿࡇ࡜ࢆ☜ㄆࡋࡓࠋࡇࢀ࡟ࡼࡾ㸪ప㟁ᅽ࡛ࡢホ౯⤖ᯝࡀ✵㛫㟁Ⲵᐃ⤖ᯝࡢゎᯒ⢭ᗘ࡜ࡋ࡚᥇⏝࡛ࡁࡿࡇ࡜ࡀࢃ࠿ࡾ㸪ࢣ࣮ࣈࣝ࡟ᑐࡍࡿ✵㛫㟁Ⲵ ᐃࡢヨ㦂㟁ᅽ᮲௳࡛ࡢࢹ࣮ࢱ࡟ࡶ㐺⏝࡛ࡁࡿぢ㏻ࡋࢆᚓࡓ 㸧ࠋ౛࠼ࡤ㸪 L +)XNDJDZDHWDO,(((7UDQV3RZHU$SSDUDWXVDQG6\VWHPV9RO1RSS  㸪 LL 1$QGRDQG1

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N9,(((6WG  ┤ὶ &9 ࢣ࣮ࣈࣝ࡟ᑐࡍࡿᙧᘧヨ㦂ࡸ 34 ヨ㦂ࡣ㸪&,*5(7HFKQLFDO%URFKXUH1R ࡞࡝࡛つᐃࡉࢀ࡚࠾ࡾ㸪,(((6WG

ࡢࡼ࠺࡞✵㛫㟁Ⲵ ᐃࡣࡇࢀ࡟ྵࡲࢀ࡞࠸ࠋࡓࡔࡋ㸪✵㛫㟁Ⲵ ᐃࡢ㔜せᛶࡣᖺࠎ㧗ࡲࡗ࡚࠸ࡿࠋ
✵㛫㟁Ⲵ ᐃ࡛ほ ࡉࢀࡿ㧗࿘Ἴࣃࣝࢫࡣṍࢇ࡛࠾ࡾ㸪㏫␚ࡳ㎸ࡳゎᯒ࡟ࡼࡿ⿵ṇࡀ㔜せ࡟࡞ࡿࠋᚑ᮶ࡣࣇ࣮࢚ࣜኚ᥮

ࢆ௓ࡋ࡚ࡇࡢゎᯒࡀᐇ᪋ࡉࢀ࡚ࡁࡓࠋィ⟬ᶵࡢ㏿ᗘྥୖ࡟ࡼࡾ⏕Ἴᙧ࡛ࡢゎᯒࡀᐇ⌧ࡉࢀ㸪Ᏻᐃゎࡀぢ࠸ࡔࡉࢀࡸࡍࡃ
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ᮏ◊✲࡛ࡣ㸪 ಶࡢࢹ࣮ࢱ࡛ゎᯒࡋࡓࠋ୍⯡࡟㸪ヨ㦂㟁ᅽ᮲௳࡛ࡣ✵㛫㟁Ⲵ⵳✚ࡀ⏕ࡌࡿྍ⬟ᛶࡀ࠶ࡾ㸪ࡑࡢሙྜ㸪ᮏ⪃᱌ᡭἲ࡟ࡼࡿ⢭ᗘホ౯ࡣ࡛ࡁ࡞࠸ࠋࡓ

ࡔࡋ㸪ࡑࡢ㝿ࡢ✵㛫㟁Ⲵಙྕࡢ 61 ẚࡣ༳ຍ㟁ᅽ࡜ṇࡢ┦㛵ࡀ࠶ࡿࠋࡑࡢࡓࡵ㸪✵㛫㟁Ⲵ⵳✚ࡀ⏕ࡌ࡞࠸㟁ᅽ V/ ࡛ᚓࡓಙྕ࡛ホ౯ࡋࡓㄗᕪ⠊ᅖࡣ㸪኱ࡁࡵࡢぢ✚ࡾ್࡜ࡋ࡚ᢅ࠼ࡿࠋ࡞࠾㸪,(((6WG ࡛ࡣ㐠㌿㟁ᅽ࡛ ᐃࢆᐇ᪋ࡍࡿࠋ

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➨ẁ㝵䠖✀䚻䛾V/᮲௳ୗ䛾✵㛫㟁Ⲵಙྕ䛻ᑐ䛩䜛ゎᯒ䠄➨ẁ㝵䛸䛧䛶䠈V+᮲௳ୗ䛾✵㛫㟁Ⲵಙྕ䛻䜒ྠᵝ䛾ฎ⌮䜢ᐇ᪋䠅
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᫬㛫㡿ᇦ㏫␚䜏㎸䜏㟁Ⲵ㔞㟁Ⲵ㔞ᚑ᮶ἲ ࿘Ἴᩘ㡿ᇦ㏫␚㎸䜏㟁Ⲵศᕸ䛜ṇ☜䚹䠄ෆ䞉እᑟ఩⨨䛾䜏䛻ಙྕ䛒䜚䠅

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ᅗ  ✵㛫㟁Ⲵࢹ࣮ࢱ࡟ᑐࡍࡿゎᯒ⢭ᗘホ౯᪉ἲ┤ὶ㟁ᅽ༳ຍ࡟ࡼࡾ⤯⦕య⏺㠃࠾ࡼࡧෆ㒊࡟㟁Ⲵ⵳✚ࡀ⏕ࡌࡿࠋࡇࡢ㟁Ⲵࡀㄏ㉳ࡍࡿ㉸㡢Ἴ᣺ືࢆ᳨ฟࡋ㸪ゎᯒ࡟౪ࡍࡿࠋෆ࣭እ㒊༙ᑟ㟁ᒙࡢ㟁Ⲵ࡟⏤᮶ࡍࡿಙྕࡀࣀ࢖ࢬ࡜࡜ࡶ࡟ほ ࡉࢀ㸪ࡇࡇࡼࡾ࢖ࣥࣃࣝࢫᛂ⟅ࡀᢳฟࡉࢀࡿ㸦ゎᯒ➨  ẁ㝵㸧ࠋྠᅗ࡛ࡣ㸪࿘Ἴᩘ㡿ᇦࡢ㏫␚ࡳ㎸ࡳฎ⌮࡛ࡣἼᙧ඲యࡀ࠺ࡡࡾࡸࡍ࠸ࡇ࡜ࢆ♧ࡋࡓࠋ୍⯡࡟ ᐃࡣ」ᩘᅇ⾜ࢃࢀࡿࡢ࡛㸪ࡇࢀࢆῧ࠼Ꮠ D㸪E㸪F͐ࢆ⏝࠸࡚༊ูࡋ࡚⾲⌧ࡋࠋࡓࠋୖᅗ࡛ࡣ㸪ࢹ࣮ࢱ v/D ࡛࢖ࣥࣃࣝࢫᛂ⟅ࢆᢳฟࡋ㸪ࡑࢀࢆ⏝࠸࡚ v/E㸪v/F ࢆゎᯒࡋ㸪㟁⏺ศᕸࡢ᥎ᐃ⢭ᗘࢆホ౯ࡋ࡚࠸ࡿ㸦ゎᯒ➨  ẁ㝵㸧᥎ᐃ㟁⏺ศᕸ N9PP᥎ᐃ㟁Ⲵศᕸ Q&PP

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©CRIEPI
37㟁ຊὶ㏻タഛࡢ࢔ࢭࢵࢺ࣐ࢿࢪ࣓ࣥࢺ࡬ࡢ
እ㒊デ᩿ࡢ㐺⏝஦౛㸫ࢩࣕࣥࢺࣜ࢔ࢡࢺࣝෆࡢ㒊ศᨺ㟁※ࡢྠᐃ㸫ᐑᔘ ᝅ㸨಴▼ 㝯ᚿ㸨㧘ᶫ ⤂኱㸨

Key Words㸸Asset management
Shunt reactor
Partial discharge
Transient earth voltage sensor
Frequency response analysis

࣮࣮࢟࣡ࢻ㸸࢔ࢭࢵࢺ࣐ࢿࢪ࣓ࣥࢺ
ࢩࣕࣥࢺࣜ࢔ࢡࢺࣝ㒊ศᨺ㟁㐣Ώ᥋ᆅ㟁఩ࢭࣥࢧ
࿘Ἴᩘᛂ⟅ゎᯒ

Application of External Diagnosis for Managing Electric Power Equipment- Identification of Partial Discharge Source in Shunt Reactor Satoru Miyazaki, Takashi Kuraishi and Tsuguhiro Takahashi

Abstract
In recent years, "asset management" or "managing assets" technique has been expected to support the rationalization ofmaintenance and operation of electric power equipment, especially as a countermeasure for aging equipment. For this purpose,the development of diagnostic methods of aging, remaining life, and faults is necessary. Furthermore, it is important toaccumulate case studies applying such diagnostic methods to real equipment and the benefit of the applications of the diagnostic
methods. In this report, frequency response analysis (FRA) and a partial discharge measurement are applied to a shunt reactor
suspected of occurrence of partial discharge. Results of both the diagnostic method suggest that breakage of the earth bar
connecting the iron-core brock and the partial discharge occurs at the iron core. Based on this diagnostic result, the shuntreactor owner decided to postpone the replacement by two years compared with the case without applying any diagnostic
methods. In this report, the benefit of the decided postponement is also evaluated.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୖᖍ◊✲ဨ ◊✲᥎㐍࣐ࢿ࣮ࢪ࣮ࣕ
*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୺௵◊✲ဨ*3 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ◊✲⤫ᣓᐊࠉවࠉࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ๪◊✲ཧ஦ࠉศ㔝⤫ᣓ

©CRIEPI38⫼  ᬒ
㟁ຊὶ㏻タഛࡢ㧗⤒ᖺ໬ࢆ⫼ᬒ࡟㸪タഛࡢྜ⌮ⓗ࡞⥔ᣢ࣭᭦᪂ィ⏬⟇ᐃᡭἲ࡬ࡢࢽ࣮
ࢬࡀᅜෆእ࡛㧗ࡲࡗ࡚࠸ࡿࠋḢ⡿ࢆ୰ᚰ࡟ඛ⾜ࡋ࡚࠸ࡿ㸪タഛࡢࣜࢫࢡ࣭ࢥࢫࢺホ౯࡟ᇶ࡙ࡃ࠸ࢃࡺࡿࠕ࢔ࢭࢵࢺ࣐ࢿࢪ࣓ࣥࢺᢏ⾡ࠖὀ㸯㸧ࡀὀ┠ࡉࢀ࡚࠸ࡿࠋᡃࡀᅜࡢ㏦㓄㟁
஦ᴗ࡛ࡶᐇົ࡬ࡢᑟධࡀᚿྥࡉࢀ࡚࠾ࡾ㸪ᙜᡤ࡛ࡣࡑࢀࢆᨭ᥼ࡍࡿ࢔ࢭࢵࢺ࣐ࢿࢪ࣓ࣥ
ࢺᢏ⾡࡜ࡋ࡚㸪ኚᅽჾࡸ㐽᩿ჾ➼ࡢタഛ⩌ࢆᑐ㇟࡟⌧ሙ㐺⏝ᛶࡢ㧗࠸ᢏ⾡ࡢ㛤Ⓨࢆ㐍ࡵ࡚ࡁࡓ[1]ࠋ࢔ࢭࢵࢺ࣐ࢿࢪ࣓ࣥࢺࢆࡼࡾᐇຠⓗ࡞ࡶࡢ࡜ࡍࡿࡓࡵ࡟ࡣ㸪タഛಶࠎ࡟ᑐࡍ
ࡿຎ໬≧ែࡸ␗ᖖ஦㇟ࡢእ㒊デ᩿⤖ᯝ࡟ᇶ࡙ࡃホ౯ࡀ᭷ຠ࡜⪃࠼ࡽࢀࡿࡀ㸪ࡑࡢ౽┈ࢆᐃ㔞ⓗ࡟♧ࡍሗ࿌౛ࡣᑡ࡞ࡃ㸪ホ౯஦౛ࢆ⵳✚ࡍࡿᚲせࡀ࠶ࡿࠋ┠  ⓗἜ୰࢞ࢫศᯒ࡛㒊ศᨺ㟁Ⓨ⏕ࡀ␲ࢃࢀࡓࢩࣕࣥࢺࣜ࢔ࢡࢺࣝ㸦ShR-A㸧ὀ㸰㸧ࡢእ㒊デ᩿ࢆ⾜࠸㒊ศᨺ㟁Ⓨ⏕⟠ᡤὀ㸱㸧ࢆྠᐃࡍࡿࠋ᭦࡟㸪࢔ࢭࢵࢺ࣐ࢿࢪ࣓ࣥࢺホ౯ࡢ౛࡜ࡋ࡚㸪ࡑࢀ࡟ᇶ࡙ࡁ஦ᴗ⪅ࡀ⟇ᐃࡋࡓ㐠⏝᪉㔪࡟࠾ࡅࡿእ㒊デ᩿ࡢ౽┈ࢆᐃ㔞ⓗ࡟♧ࡍࠋ୺࡞ᡂᯝ ࢩࣕࣥࢺࣜ࢔ࢡࢺࣝࡢእ㒊デ᩿࿘Ἴᩘᛂ⟅ゎᯒ㸦)5$㸧࡟ࡼࡿデ᩿

ShR-A ࡟ FRA ὀ㸲㸧ࢆ㐺⏝ࡋࡓ⤖ᯝ㸪U-W ┦㛫ఏ㐩㛵ᩘࡢ 12kHz ௜㏆ࡢඹ᣺࿘Ἴᩘࡢኚ໬ࡀ☜ㄆࡉࢀࡓ㸦ᅗ 1㸧ࠋࡇࡢඹ᣺࿘Ἴᩘࡢኚ໬
ᵝ┦ࡣ㸪㕲ᚰࢥ࢔ࣈࣟࢵࢡࡢ᥋ᆅ∦ࡀ◚᩿ࡋࡓྠ୍タィჾࡢ஦౛[2]࡜ྠᵝ࡛࠶ࡾ㸪ᙜヱࢩࣕࣥࢺࣜ࢔ࢡࢺ࡛ࣝࡶ㕲ᚰࢥ࢔ࣈࣟࢵࢡࡢ᥋ᆅ∦ࡀ◚᩿ࡋ࡚࠸ࡿ࡜デ᩿ࡉࢀࡓࠋ
㒊ศᨺ㟁 ᐃ࡟ࡼࡿデ᩿⌧ᆅ࡛ ShR-A ࡢ㒊ศᨺ㟁 ᐃࢆ⾜ࡗࡓ⤖ᯝ㸪㐠㌿㛤ጞࠋ㕲ᚰࢥ࢔ࣈࣟࢵࢡ᥋ᆅ
┤ᚋ࡟≉ᚩⓗ࡞➟≧ࡢ㒊ศᨺ㟁ࣃࢱ࣮ࣥὀ㸳㸧ࡀ ᐃࡉࢀࡓ㸦ᅗ 2㸧∦ࡢ◚᩿ࢆᶍᨃࡋࡓ㟁ᴟ⣔࡛ࡶྠᵝࡢ㒊ศᨺ㟁ࣃࢱ࣮ࣥࡀ ᐃࡉࢀࡓࡇ࡜࠿ࡽ㸪ShR-A࡛ࡶ㕲ᚰࢥ࢔ࣈࣟࢵࢡࡢ᥋ᆅ∦ࡀ◚᩿ࡋ㸪ࡑࡇ࡛㒊ศᨺ㟁ࡀⓎ⏕ࡋ࡚࠸ࡿ࡜デ᩿ࡉࢀࡓࠋ እ㒊デ᩿࡟ᇶ࡙ࡃ㐠㌿᪉㔪ࡢỴᐃ࡜ࡑࡢ౽┈ホ౯
ShR-A ࢆ㐠⏝ࡍࡿ஦ᴗ⪅ࡣ㸪᝿ᐃࡍࡿ௒ᚋࡢ㐠⏝᪉㔪㸦⾲ 1㸧ࡢ୰࠿ࡽ㸪እ㒊デ᩿⤖ᯝ࡟ᇶ࡙ࡁࢩࢼࣜ࢜ 2 ࢆ㑅ᢥࡋࡓࠋࡍ࡞ࢃࡕ㸪እ㒊デ᩿ᐇ᪋࡟ࡼࡾ㸪ᐇ᪋ࡋ࡞࠿ࡗࡓሙྜ
㸦ࢩࢼࣜ࢜ 1㸧࡟ẚ࡭ 2 ᖺ㛫᭦᪂᫬ᮇࢆᘏఙ࡛ࡁࡓࡇ࡜࡜࡞ࡿࠋࡇࡢ᭦᪂᫬ᮇᘏఙ࡟ࡼࡿ
ࠋ౽┈ࢆ㸪ඛ㏦ࡾࡋ࡚ᨭฟࡍࡿ᭦᪂㈝⏝ࡢ⌧ᅾ౯್࠿ࡽᐃ㔞ⓗ࡟♧ࡋࡓὀ㸴㸧㸦ᅗ 3㸧㛵㐃ሗ࿌᭩㸸
[1]H20013ࠕ㝵ᒙู࢔ࢭࢵࢺ࣐ࢿࢪ࣓ࣥࢺᨭ᥼ᢏ⾡ࡢ㛤Ⓨ 㸫ኚ㟁ᶵჾ⏝ᨭ᥼ࣉࣟࢢ࣒ࣛ㛤Ⓨ࡜ࡑࡢ㐺⏝ἲ㸫ࠖ㸦2021.09㸧
[2]H14010ࠕ࿘Ἴᩘᛂ⟅ゎᯒ㸦FRA㸧࡟ࡼࡿኚᅽჾᕳ⥺␗ᖖุᐃᇶ‽ࡢᥦ᱌ࠖ
㸦2015.05㸧

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39

ὀ㸯㸧ISO55000 ࢩ࣮ࣜࢬ࡛ࡣ㸪⤌⧊඲యࡲࡓࡣ㒊⨫ᶓ᩿࡛඲య᭱㐺໬ࢆᚿྥࡍࡿ Asset Management ࡜㸪ᑐ㇟タഛࡈ࡜ࡲࡓ
ࡣ⣽ศ໬ࡉࢀࡓ㒊⨫ࡈ࡜࡟᭱㐺໬ࢆᚿྥࡍࡿ Managing Asset ࢆ༊ูࡋ࡚࠸ࡿࡀ㸪㏻ᖖ᪥ᮏㄒ࡛ࡣ୧⪅࡜ࡶ࢔ࢭࢵࢺ
࣐ࢿࢪ࣓ࣥࢺ࡜⛠ࡉࢀࡿࠋᮏሗ࿌࡛࠸࠺࢔ࢭࢵࢺ࣐ࢿࢪ࣓ࣥࢺࡣ㸪ᚋ⪅ࢆᣦࡍࠋὀ㸰㸧୍⯡㏦㓄㟁஦ᴗ⪅ࡀ㐠⏝୰ࡢᐃ᱁ᐜ㔞 20,000kVA㸪ᐃ᱁㟁ᅽ 66kV㸪⤒ᖺ 44 ᖺࡢࢩࣕࣥࢺࣜ࢔ࢡࢺࣝࠋ㕲ᚰ⬮ࡣ෇ᰕ≧ࡢࢥ࢔ࣈࣟࢵࢡࢆ⤯⦕≀࡛ᣳࢇ࡛✚ࡳ㔜ࡡࡓᵓ㐀࡛࠶ࡾ㸪ࢥ࢔ࣈࣟࢵࢡ㛫ࡀ᥋ᆅ∦࡛᥋⥆ࡉࢀ࡚࠸ࡿࠋ
ὀ㸱㸧㒊ศᨺ㟁Ⓨ⏕⟠ᡤࡀᕳ⥺㒊ࡢሙྜ㸪㒊ศᨺ㟁࡟ࡼࡾ⤯⦕⣬ࡀⅣ໬ࡋ࡚⤯⦕⪏ຊࡀపୗࡋ㸪▷⤡࣭ᆅ⤡ᨾ㞀࡟⛣⾜ࡍࡿ༴㝤ᛶࡀ㧗ࡃ⥭ᛴࡢᑐᛂࡀᚲせࡔࡀ㸪㕲ᚰ㒊࡛࠶ࢀࡤࡑࡢ༴㝤ᛶࡣప࠸࡜⪃࠼ࡽࢀࡿࠋ
ὀ㸲㸧FRA ࡛ࡣኚᅽჾᕳ⥺ࡢ࠶ࡿ➃Ꮚ࡟㟁ᅽ※ࢆ᥋⥆ࡋ㸪௚➃Ꮚ࡜ࡢ㟁ᅽẚࢆᗈ࠸࿘Ἴᩘᖏ࡛ ᐃࡋ࡚ఏ㐩㛵ᩘ࡜ࡍࡿࠋ
ኚᅽჾࡀ೺඲᫬࡟ ᐃࡋ࡚࠾࠸ࡓ㐣ཤࢹ࣮ࢱ࡜ẚ㍑ࡋࡓኚ໬ࡢ᭷↓࠿ࡽᕳ⥺␗ᖖࢆデ᩿ࡍࡿࠋὀ㸳㸧஺ὶ㟁ᅽୗ࡛Ⓨ⏕ࡍࡿ㒊ศᨺ㟁ࡣ㸪Ⓨ⏕⟠ᡤ࡟௓ᅾࡍࡿ⤯⦕≀࠾ࡼࡧᑟయࡢ✀㢮ࡸᙧ≧࡟ࡼࡗ࡚≉ᚩⓗ࡞㒊ศᨺ㟁ࣃࢱ࣮ࣥ㸦㒊ศᨺ㟁ࡢⓎ⏕ᩘ࡜ࡑࡢᨺ㟁㟁Ⲵ㔞ࡢ఩┦≉ᛶ㸧ࢆ♧ࡍࡇ࡜ࡀ▱ࡽࢀ࡚࠸ࡿࠋ
ὀ㸴㸧ࢩࣕࣥࢺࣜ࢔ࢡࢺࣝࡢ᭦᪂㈝⏝ࢆ 100㸦ṇつ໬್㸧㸪ᮇᚅᑑ࿨ 47ᖺ㸦ຎ໬≧ἣ࠿ࡽ⤒ᖺ 47ᖺ࡛ࡢྲྀ᭰ࢆィ⏬ࡋ࡚࠸ࡓ㸧࡜ࡋ㸪ᖺ㛫฼⋡ࢆࣃ࣓࣮ࣛࢱ࡜ࡋ࡚ホ౯ࡋࡓࠋ㒊ศᨺ㟁ಙྕ

ඹ᣺࿘Ἴᩘ
ࡀప࿘Ἴഃ
࡟ࢩࣇࢺ

ࣀ࢖ࢬ
U-W ┦㛫ࡢ ᐃࡣ W ┦ᕳ⥺ࡢ୧➃࡛ࡢ ᐃ࡜࡞ࡾW ┦ࡢ␗ᖖࡀ␲ࢃࢀࡿ

ᶓ㍈ࡣ఩┦㸪⦪㍈ࡣᨺ㟁㟁Ⲵ㔞㸪Ⰽࡣᨺ㟁ࡢ㢖ᗘࢆ♧ࡍࠋᅗ  㧗࿘Ἴ᥋ᆅ⥺ &7 ࡟ࡼࡿ㒊ศᨺ㟁 ᐃ⤖ᯝᅗ  8: ┦㛫ࡢఏ㐩㛵ᩘ ᐃ⤖ᯝ⾲  እ㒊デ᩿⤖ᯝ࡟ᛂࡌࡓࢩࣕࣥࢺࣜ࢔ࢡࢺࣝࡢ᭦᪂ࢩࢼࣜ࢜㸦ィ⟬᮲௳㸧
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እ㒊デ᩿ࢆ⾜ࢃ࡞࠸㸪⾜ࡗ࡚ࡶ㒊ศᨺ㟁Ⓨ⏕⟠ᡤࢆྠᐃ࡛ࡁ࡞࠸㸪ࡲࡓࡣᕳ⥺㒊࡜ྠᐃࡉࢀࡓሙྜࠋ
እ㒊デ᩿ࢆ⾜ࡗࡓ⤖ᯝ㸪㒊ศᨺ㟁Ⓨ⏕⟠ᡤࡀ㕲ᚰ㒊࡜ྠᐃࡉࢀࡓ
ሙྜࠋ㒊ศᨺ㟁ࡀⓎ⏕ࡋ࡚࠸࡞࠿ࡗࡓሙྜ

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ࢩࢼࣜ࢜

40

᭦᪂᫬ᮇ
2021 ᖺ᭦᪂
㸦༶ᗙ࡟㐠㌿೵Ṇࡍࡿሙྜ㸧
2023 ᖺ᭦᪂
㸦ࢩࢼࣜ࢜ 1 ࡟ẚ࡭ 2 ᖺࡢ᭦᪂᫬ᮇᘏఙ㸧
2024 ᖺ᭦᪂㸦ᙜึィ⏬㸧㸦ࢩࢼࣜ࢜ 1 ࡟ẚ࡭ 3 ᖺࡢ᭦᪂᫬ᮇᘏఙ㸧

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ᅗ  ᭦᪂᫬ᮇᘏఙ࡟ࡼࡿ౽┈ࡢホ౯⤖ᯝ©CRIEPI40

㛗ᑑ࿨タഛࢆ᝿ᐃࡋࡓ㐠⏝ᐇ⦼࡟ᇶ࡙ࡃ
ᨾ㞀⤫ィゎᯒᡭἲࡢ᳨ウ㧘ᶫ ⤂኱㸨

Key Words㸸Asset management
Risk analysis
Failure rate
Hazard analysis
Operation data࣮࣮࢟࣡ࢻ㸸࢔ࢭࢵࢺ࣐ࢿࢪ࣓ࣥࢺ
ࣜࢫࢡホ౯
ᨾ㞀⋡
ࣁࢨ࣮ࢻゎᯒ
㐠⏝ᐇ⦼Study of statistical failure analysis for long life equipment based on operation data
Tsuguhiro Takahashi

Abstract
In developed countries, to operate and maintain aged power equipment are very important issue, and rational measures byutilizing the asset management techniques are being pursued. In Japan, the Organization for Cross-regional Coordination ofTransmission Operator (OCCTO) has introduced an evaluation method of renewal planning based on risk analysis. In order tocarry out such a risk analysis, it is necessary to accurately estimate the failure rate of the equipment to be evaluated. One of themethods to understand the aging characteristics is the statistical analysis of equipment operation data such as failures andoperating results, but there are some points to be considered when applying this method to equipment that can be operated fora long period, has a wide age distribution, and is expected to have high reliability with preventive maintenance. This reportpresents the procedure of statistical analysis by using simulated data of operation results with wide age distribution, and thepoints to be considered when carry out this analysis. In addition, examples of failure rate evaluation that takes into account theresults of preventive renewals are presented.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ◊✲⤫ᣓᐊ ව ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ๪◊✲ཧ஦ ศ㔝⤫ᣓ

©CRIEPI41

⫼  ᬒඛ㐍ㅖᅜ࡟࠾࠸࡚㟁ຊὶ㏻タഛࡢ㧗⤒ᖺ໬ᑐ⟇ࡣ㔜せㄢ㢟࡛࠶ࡾࠊ࢔ࢭࢵࢺ࣐ࢿࢪ࣓
ࣥࢺᢏ⾡ᑟධ࡟ࡼࡿྜ⌮ⓗ࡞ᑐᛂࡀᚿྥࡉࢀ࡚࠸ࡿࠋ᪥ᮏ࡛ࡶ 2023 ᖺᗘ࠿ࡽࡢク㏦ᩱ㔠ไᗘぢ┤ࡋ࡟ྜࢃࡏࠊ㟁ຊᗈᇦⓗ㐠Ⴀ᥎㐍ᶵ㛵㸦OCCTO㸧࡟ࡼࡾࠕ㧗⤒ᖺ໬タഛ᭦᪂࢞࢖ࢻࣛ࢖ࣥࠖ[1]ࡀ⟇ᐃࡉࢀࠊࣜࢫࢡホ౯࡟ᇶ࡙ࡃ᭦᪂≀㔞⟬ᐃᡭἲࡀᑟධࡉࢀࡿࡀࠊࡇ
ࡢࡼ࠺࡞ࠕࣜࢫࢡホ౯ࠖࢆ⾜࠺ࡓࡵ࡟ࡣᑐ㇟タഛࡢᨾ㞀⋡ࢆ⢭ᗘࡼࡃ᥎ᐃࡍࡿᚲせࡀ࠶ࡿࠋࡑࡢ⤒ᖺ≉ᛶࢆᢕᥱࡍࡿ᪉ἲࡢ୍ࡘ࡟ᨾ㞀ࡸ✌ാᐇ⦼࡜࠸ࡗࡓタഛ㐠⏝ࢹ࣮ࢱࡢ⤫ィゎᯒࡀ࠶ࡿࠋࡓࡔࡋࠊゎᯒᑐ㇟࡟ࡣࠊ㛗ᮇ㛫ࡢ㐠⏝ࡀྍ⬟࡛ᖜᗈ࠸タഛ㔞⤒ᖺศᕸࢆᣢࡕࠊ㧗ಙ㢗ᗘ࠿ࡘண㜵ಖ඲ࢆ๓ᥦ࡜ࡍࡿ࡜࠸࠺≉ᚩࡀ࠶ࡿࡓࡵࠊᨾ㞀⤫ィゎᯒࢆᐇ᪋ࡍࡿୖ࡛ࡢ␃ពⅬࢆ᫂☜໬ࡋ࡚࠾ࡃᚲせࡀ࠶ࡿࠋ┠  ⓗᖜᗈ࠸⤒ᖺศᕸࡢタഛ⩌ࢆ௬ᐃࡋࠊ㐠⏝ᐇ⦼ࢩ࣑࣮ࣗࣞࢩࣙࣥࢹ࣮ࢱࢆࢧࣥࣉࣝ࡜ࡋ
ࡓᨾ㞀⋡᥎ᐃࢆᐇ᪋ࡍࡿࠋࡲࡓ஦ᨾ࣭᭦᪂ᐇ⦼ㄪᰝ஦౛ࢆ⏝࠸࡚ண㜵ಖ඲ⓗ᭦᪂ᐇ⦼ࢆ
ຍ࿡ࡋࡓ᥎ᐃ౛ࢆ♧ࡍࠋ௨ୖࢆ㋃ࡲ࠼࡚ゎᯒᐇ᪋ୖࡢ␃ពⅬࢆ᫂☜࡟ࡍࡿࠋ୺࡞ᡂᯝ 㐠⏝ᐇ⦼ࢩ࣑࣮ࣗࣞࢩࣙࣥࢹ࣮ࢱ࡟ࡼࡿᨾ㞀⋡᥎ᐃᅗ 1ࡢタഛ㔞⤒ᖺศᕸࢆ௬ᐃࡋࡓタഛࢆ 5ᖺ㛫㐠⏝ࡋࡓሙྜࡢᨾ㞀Ⓨ⏕ࢆ஘ᩘ࡟ࡼࡾᶍ
ᨃࡋࠊࡑࡢ⤖ᯝ࠿ࡽᨾ㞀≉ᛶࢆࣁࢨ࣮ࢻゎᯒὀ 1㸧࡟ࡼࡾồࡵࡓࠋᅗ 2 ࡟ࢩ࣑࣮ࣗࣞࢩࣙࣥ᫬࡟タᐃࡋࡓᨾ㞀⋡ࡢࠕ┿್ࠖ࡜ࠊ5ᅇศࡢࢩ࣑࣮ࣗࣞࢩࣙࣥ⤖ᯝ࠿ࡽồࡵࡓࠕ᥎ᐃ್ࠖ
ࢆ♧ࡍࠋ᥎ᐃ್ࡣࢩ࣑࣮ࣗࣞࢩࣙࣥᐇ᪋ࡢࡓࡧ࡟┿್ࡢ࿘ࡾ࡟ࡤࡽࡘࡃࠋ┿್࡟㏆࠸᥎ᐃ್ࢆᚓࡿࡓࡵ࡟ࡣ㐺ษ࡟ㄪᰝࡉࢀࡓ㐠⏝ᐇ⦼ࢹ࣮ࢱὀ 2㸧ࢆቑࡸࡋ࡚ࡤࡽࡘࡁࢆᢚ࠼ࡿࡼ
ࡾ࡯࠿࡞ࡃࠊ㛗ᮇ㛫࡟ࢃࡓࡿࢹ࣮ࢱ⵳✚ࡀ୙ྍḞ࡛࠶ࡿࠋ ஦ᨾ࣭᭦᪂ᐇ⦼ㄪᰝࢆά⏝ࡋࡓᨾ㞀≉ᛶ᥎ᐃ౛㐣ཤ࡟ᐇ᪋ࡉࢀࡓㄪᰝ஦౛ὀ 3㸧ࢆ⏝࠸ࠊ஦ᨾᐇ⦼࡜᭦᪂ᐇ⦼ࢆྜ⟬ὀ 4㸧ࡋ࡚ᨾ㞀≉ᛶࡢ᥎ᐃࢆ⾜ࡗࡓࠋ≉㧗࣭㧗ᅽࢣ࣮ࣈࣝ࡟ᑐࡍࡿ᥎ᐃ⤖ᯝࢆᅗ 3 ࡟♧ࡍࠋ౛࠼ࡤ⤒ᖺ 30 ᖺ᫬Ⅼ࡛ࡣ᭦᪂ᐇ⦼ࢆ⪃៖ࡋࡓሙྜࡢᨾ㞀⋡ࡣ⪃៖ࡋ࡞࠸ሙྜࡢ⣙ 26 ಸ࡜࡞ࡿ࡞࡝ࠊᙳ㡪ࡀ኱ࡁ࠸ࡓࡵ࡟᭦᪂ᐇ⦼࣭⌮⏤ࡢㄪᰝࠊྜ⟬ࡣᚲ㡲࡜⪃࠼ࡽࢀࡿࠋ
௨ୖࢆ㋃ࡲ࠼ࠊ㐠⏝ᐇ⦼ࢹ࣮ࢱ࡟ᇶ࡙ࡃ⤫ィゎᯒࢆ⾜࠺ୖ࡛ࡢᚲ㡲ㄪᰝෆᐜ࡜␃ពⅬࢆ⾲ 1 ࡟ࡲ࡜ࡵࡿࠋ
ὀ1㸧⪏ஂヨ㦂➼࡛ࡢᨾ㞀ࢹ࣮ࢱ࠿ࡽᨾ㞀≉ᛶࢆ⤫ィゎᯒࡋࠊ࣡࢖ࣈࣝศᕸ㛵ᩘ࡟ᙜ࡚ࡣࡵࡿゎᯒᡭἲ࡛ࠊヨ㦂㏵୰࡛ࡢ
ᡴษࢆྵࡴࢹ࣮ࢱ࡟ᑐᛂࡍࡿᡭἲ࡜ࡋ࡚▱ࡽࢀࡿࠋὀ 2㸧ㄪᰝᐇ᪋ᖺᗘ࡟࠾ࡅࡿ 1 ᖺ༢఩࡛ࡢタഛ㔞⤒ᖺศᕸ࡜ᨾ㞀Ⓨ⏕⤒ᖺศᕸࡣᚲ㡲ࠋࡑࡢ௚ࠊ⾲ 1 ࢆཧ↷ࠋὀ 3㸧ࠕ㛵ᮾᮾ໭⏘ᴗಖᏳ┘╩㒊⟶ෆ㟁Ẽ୺௵ᢏ⾡⪅఍ࠖ࡟࡚ 2008 ᖺᗘ࡟ຍ┕ࡍࡿ⣙ 200 ♫࡟ᑐࡋ࡚ᐇ᪋ࡉࢀࡓ 10 ᖺศࡢタഛ஦ᨾ࣭᭦᪂ᐇែㄪᰝ[2]ࠋ

©CRIEPI42

ὀ4㸧ண㜵ಖ඲ⓗ᭦᪂ࡣ⤒ᖺຎ໬࡟క࠺ᨾ㞀ࡢ㢧ᅾ໬ࢆᢚ࠼ࠊ㧗⤒ᖺタഛࡢ஦ᨾࢆῶࡽࡍࡓࡵࠊ஦ᨾᐇ⦼ࡢࡳ࡟ᇶ࡙ࡃᨾ
㞀≉ᛶホ౯ࡣ㐣ᑠホ౯࡜࡞ࡿࠋࡇࡇ࡛ࡣ᭦᪂ࡉࢀࡓタഛࡣ୍ᚊ 5 ᖺᚋ࡟ᨾ㞀࡟⮳ࡿࡶࡢ࡛࠶ࡗࡓ࡜௬ᐃࠊ᭦᪂⤒ᖺ+5 ᖺࢆᨃఝⓗ࡟ᨾ㞀Ⓨ⏕⤒ᖺ࡜ࡳ࡞ࡋࠊ஦ᨾᐇ⦼࡜ྜ⟬ࡋࡓࠋ᭦᪂ุ᩿࠿ࡽᐇ㝿࡟ᨾ㞀ࡍࡿࡲ࡛ࡢ⊰ண࡜ࡋ࡚ぢ✚ࡶࡿᮇ㛫ࡣ᭦᪂⌮⏤ࡢㄪᰝࡸタഛ≉ᛶ࠿ࡽಶ᳨ูウࡍࡿࡇ࡜ࡀᮃࡲࡋ࠸ࠋ
[1] OCCTO, 㧗⤒ᖺ໬タഛ᭦᪂࢞࢖ࢻࣛ࢖ࣥࡢ⟇ᐃ࠾ࡼࡧබ⾲࡟ࡘ࠸࡚,https://www.occto.or.jp/kouikikeitou/guidelines/20211217_guideline.html,㸦ཧ↷ 2022-01-06㸧
[2] ࠕ⤯⦕デ᩿࡟ᇶ࡙ࡃ㟁ຊᶵჾࡢ࢔ࢭࢵࢺ࣐ࢿࢪ࣓ࣥࢺࠖ, 㟁ẼᏛ఍ᢏ⾡ሗ࿌ No. 1243 (2012)
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ᅗ ௬᝿タഛ㔞⤒ᖺศᕸ㸦ィ  ྎ㸧 ᅗ ᥎ᐃᨾ㞀⋡࡜┿್ࡢẚ㍑

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E ⣼✚ᨾ㞀☜⋡ᅗ ≉㧗࣭㧗ᅽࢣ࣮ࣈࣝࡢ஦ᨾ࣭᭦᪂ᐇ⦼࡟ᇶ࡙ࡃᨾ㞀≉ᛶ᥎ᐃ⤖ᯝ⾲ ᨾ㞀⤫ィゎᯒ࡟⏝࠸ࡿ㐠⏝ᐇ⦼ࢹ࣮ࢱ࡟㛵ࡍࡿᚲ㡲ㄪᰝෆᐜ࡜␃ពⅬㄪᰝ㡯┠タഛ✌ാᐇ⦼
ᨾ㞀ᐇ⦼ᚲ㡲ㄪᰝෆᐜ
ᨾ㞀ࡏࡎ࡟✌ാࡋࡓタഛࡢタഛ㔞⤒ᖺศᕸ
ᨾ㞀ࡋࡓタഛᩘࡢ⤒ᖺศᕸ᭦᪂ᐇ⦼᭦᪂ࡋࡓタഛᩘࡢ⤒ᖺศᕸ*ࡇࡇ࡛ゝ࠺ࠕほㄪᰝୖࡢ␃ពⅬ࣭ゎᯒ⢭ᗘࡢࡓࡵ  ᖺ༢఩࡛ࡢ⤒ᖺศᕸࡀᚲせ࣭ほ ᮇ㛫 ୰ࠊẖᖺࡢࢹ࣮ࢱࡀᚲせ࣭㧗ಙ㢗ᗘ పᨾ㞀⋡ ࡢタഛ࡛ࡣᨾ㞀ᩘࡀᑡ࡞ࡃ࡞ ࡾࠊ ᨾ㞀 ⋡᥎ᐃ ⢭ᗘ ࡢపୗ せᅉ ࡜࡞ ࡿࡓࡵ ࠊ㛗ᮇ㛫࡟ࢃࡓࡿㄪᰝࡀᚲせ࣭ᨾ㞀ᑐᛂ᪉⟇᳨ウࡢࡓࡵࠊせ᭦᪂࠿ࠊಟ⧋ᑐᛂ
ྍ⬟࠿➼ࢆ༊ู࡛ࡁࡿᨾ㞀✀ู᝟ሗࡀᚲせ࣭ಟ⧋ᑐᛂ᳨ウࡢࡓࡵ࡟ࡣᨾ㞀㒊఩᝟ሗࡶ᭷⏝ͤண㜵ಖ඲ⓗ᭦᪂ᐇ⦼ࢆྜ⟬ࡋ࡞ࡅࢀࡤ㢧ᅾ໬ࡋ࡞࠿ࡗࡓᨾ㞀ࢆ↓どࡋࡓ㐣ᑠホ౯࡜࡞ࡿ࣭᭦᪂ᐇ⦼ࢆ㐺ษ࡟ྜ⟬ࡍࡿࡓࡵ࡟ಶࠎࡢᐇ⦼ࡈ
࡜࡟᭦᪂ุ᩿ࢆୗࡋࡓ⌮⏤ࡀᚲせᮇ㛫ࠖࡣ㐠⏝ᐇ⦼ࢆㄪᰝ࡛ࡁࡿᮇ㛫ࡢࡇ࡜࡛ࠊࡑࡢ㛫ࡣୖグせㄪᰝ㡯┠ࡍ࡭࡚ࡢ᝟ሗࡀᚲせ©CRIEPI43

ࢸࣞࢥࣥ⏝ࡢᚑ᮶㏻ಙ᪉ᘧ࡜ IEC 61850 㛫ࡢኚ᥮ࢆᢸ࠺㏻ಙ࢔ࢲࣉࢱࡢ㛤Ⓨࣃ࢘ࢹࣝ ࢧࣟࢪࣗ㸨℩ᡞ ዲᘯ㸨ᒣཱྀ ு㸨ᒣᮏ ຾ஓ㸨࣮࣮࢟࣡ࢻ㸸IEC 61850
ࢸࣞࢥࣥಖㆤไᚚࢩࢫࢸ࣒
HDLC
CDT

኱㇂ ဴኵ㸨

Key Words㸸IEC 61850
Telecontrol
Protection and control system
HDLC
CDT

Development of Communication Adapter for IEC 61850 andLegacy Communication Systems used in Telecontrol
Saroj Paudel, Yoshihiro Seto, Tetsuo Otani,
Ryo Yamaguchi and Katsuya Yamamoto

Abstract
IEC 61850-based systems for substations support interoperability and increase reliability and flexibility. In addition, it may
lead to reduction in wiring and engineering time thereby improving set-up and maintenance process and reducing cost. However,
one of the major challenges is the communications with the control centers employing legacy communication technologies thatare based on protocols such as HDLC (High-level Data Link Control) or CDT (Cyclic Data Transmission). These systems
cannot be replaced by IEC 61850-based system all at once. A communication adapter is thus required to communicate between
these legacy communication systems and IEC 61850-based system during the transition period. Use of such communication
adapter supports and accelerates the transition to IEC 61850-based systems. This report proposes a basic design of such
communication adapter consisting of a common module that performs majority of protocol conversion tasks and a custom
module that primarily performs the modulating and demodulating of payload information specific to each legacy
communication protocol. Consideration is given to maximize the tasks in the common module while minimizing those in thecustom module by defining intermediate communication services and mapping definition files.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ୺௵◊✲ဨ*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ᐈဨ◊✲ဨ*3 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ๪◊✲ཧ஦
*4 ㏻◊㟁Ẽᕤᴗᰴᘧ఍♫©CRIEPI44⫼  ᬒⓎኚ㟁ᡤ࡟࠾࠸࡚ IEC 61850 ࡟ᇶ࡙ࡃಖㆤไᚚࢩࢫࢸ࣒ࡢᑟධࡀ㐍ࡴ࡜㸪IEC 61850 ࡟஫᥮ᛶࡢ࡞࠸ᚑ᮶ࡢ㏻ಙ᪉ᘧ 1)ࢆ฼⏝ࡍࡿࢸࣞࢥࣥ࡜ࡢ᥋⥆ࡀᚲせ࡜࡞ࡾ㸪ࢹ࣮ࢱᙧᘧ➼ࡢኚ᥮ࡢࡓࡵ࡟㏻ಙ࢔ࢲࣉࢱࡀᚲせ୙ྍḞ࡜࡞ࡿࠋᚑ᮶ࡢ㏻ಙ᪉ᘧࡣ㸪஦ᴗ⪅ࡈ࡜࡟௙ᵝࡀ␗࡞ࡿࠋࡑࡢࡓࡵ㸪௙ᵝࡢᩘࡔࡅ㏻ಙ࢔ࢲࣉࢱࡢ㛤Ⓨࡀồࡵࡽࢀࡿᜍࢀࡀ࠶ࡿࠋࡇ
ࡢၥ㢟ࢆᅇ㑊ࡍࡿࡓࡵ㸪␗࡞ࡿᚑ᮶ࡢ㏻ಙ᪉ᘧ࡟ᑐᛂ࡛ࡁࡿࡼ࠺࡞㏻ಙ࢔ࢲࣉࢱࡢኚ᥮
ᶵ⬟ࢆタィࡍࡿᚲせࡀ࠶ࡿࠋ┠  ⓗ␗࡞ࡿᚑ᮶ࡢ㏻ಙ᪉ᘧ࡜ IEC 61850 ࡜ࡢ㏻ಙ࢔ࢲࣉࢱ㸦௨ୗ㸪61850 ࢔ࢲࣉࢱ㸧ࡢኚ᥮ᶵ⬟ࢆタィࡍࡿࠋࡉࡽ࡟㸪タィ࡟ᇶ࡙࠸࡚ 61850 ࢔ࢲࣉࢱࢆヨసࡋ㸪ࡑࡢኚ᥮ᶵ⬟ࢆホ
౯ࡍࡿࠋ

୺࡞ᡂᯝ
  ࢔ࢲࣉࢱ࡟࠾ࡅࡿኚ᥮ᶵ⬟ࡢタィ␗࡞ࡿᚑ᮶ࡢ㏻ಙ᪉ᘧ࡟ᑐᛂࡍࡿࡓࡵ㸪㏻ಙࣉࣟࢺࢥ࣭ࣝ᝟ሗᙧᘧ࣭ఏ㏦㡯┠࡞࡝ࡢㄪᰝࢆ⾜࠸㸪IEC 61850 ࡜ࡢኚ᥮࡟࠾ࡅࡿඹ㏻ⓗ࡞ኚ᥮ฎ⌮࡜ᅛ᭷ࡢኚ᥮ฎ⌮ࢆᩚ⌮ࡋࡓࠋࡇࢀࢆᇶ࡟ 61850 ࢔ࢲࣉࢱࡣ㸪i) ᚑ᮶ࡢ㏻ಙ᪉ᘧࢆ౑⏝ࡍࡿไᚚᡤぶᒁ࡜ࡢ㏻ಙཬࡧྛ♫ᅛ᭷ࡢኚ᥮ฎ⌮ࢆ⾜࠺ࠕ᪤タᶵჾ㏻ಙ㒊ࠖ࡜㸪ii) IEC 61850 ࡟ᑐᛂࡋࡓኚ㟁ᡤᵓෆࢸࣞࢥ
ࣥᏊᒁ࡜ࡢ㏻ಙཬࡧඹ㏻ⓗ࡞ኚ᥮ฎ⌮ࢆ⾜࠺ࠕ61850 ᶵჾ㏻ಙ㒊ࠖࡢ஧ࡘ࡟ᶵ⬟ศ㞳ࡍࡿᵓᡂ࡜ࡋࡓ㸦ᅗ 1㸧ࠋ
ࡇࢀࡽࡢ㏻ಙ㒊㛫ࡢ᝟ሗ஺᥮ࡢࡓࡵ࡟ࠕ୰㛫㏻ಙࢧ࣮ࣅࢫ 2)ࠖࢆ฼⏝ࡍࡿ᪉ἲࢆ᥇⏝ࡋࡓࠋຍ࠼࡚㸪ᚑ᮶ࡢ㏻ಙ᪉ᘧ࡟࠾ࡅࡿఏ㏦㡯┠࡜ IEC 61850 ࡢ᝟ሗࣔࢹࣝࢆᑐᛂࡉࡏࡓ
ࠕ࣐ࢵࣆࣥࢢᐃ⩏ 3)ࠖࢆࢹ࣮ࢱ࡜ࡋ࡚ㄞࡳ㎸ࡴࠋ୰㛫㏻ಙࢧ࣮ࣅࢫࢆ⏝࠸ࡿࡇ࡜࡟ࡼࡾヲ⣽௙ᵝࡢ㐪࠸ࢆ྾཰࡛ࡁࡿࠋࡲࡓ㸪61850 ᶵჾ㏻ಙ㒊࡛࣐ࢵࣆࣥࢢᐃ⩏ࢆ⏝࠸ࡿࡇ࡜࡛ྠ
୍ෆᐜࡢฎ⌮ࢆඹ㏻໬ࡋ㸪᪤タᶵჾ㏻ಙ㒊ࢆຠ⋡ࡼࡃ㛤Ⓨ࡛ࡁࡿࠋ  ࢔ࢲࣉࢱࡢヨస࡟ࡼࡿኚ᥮ᶵ⬟ࡢホ౯࠶ࡿ஦ᴗ⪅ࡢ HDLC ࢸࣞࢥࣥ௙ᵝ࡜ CDT ࢸࣞࢥࣥ௙ᵝࢆᑐ㇟࡟ 61850 ࢔ࢲࣉࢱࢆヨసࡋ㸪ᅗ 2 ࡟♧ࡍヨ㦂ࢩࢫࢸ࣒࡛ኚ᥮ᶵ⬟ࡢホ౯ࢆ⾜ࡗࡓࠋHDLC ཬࡧ CDT ᪉ᘧ࡟ᑐࡍࡿ
≧ែ⾲♧㸪ィ ⾲♧㸪࠾ࡼࡧ㑅ᢥไᚚ࡟࠾ࡅࡿ㏻ಙ࣓ࢵࢭ࣮ࢪ➼ࢆ㐺ษ࡟ኚ᥮࡛ࡁࡿࡇ
࡜ࢆ☜ㄆࡋࡓࠋඹ㏻ⓗ࡞ኚ᥮ฎ⌮ࢆᢸ࠺ 61850 ᶵჾ㏻ಙ㒊࡟╔┠ࡍࡿ࡜㸪≧ែ್ࡸィ್ࡢኚ᥮ࢆ 5 ms ௨ୗ㸦ᅗ 3㸧㸪㑅ᢥᣦ௧ࡢኚ᥮ࢆ 50 ms ௨ୗ㸪ไᚚᣦ௧ࡢኚ᥮ࢆ 300 ms ௨ୗ࡛ᐇ⾜࡛ࡁࡿࡇ࡜ࢆ᫂ࡽ࠿࡟ࡋࡓࠋ⌧≧ࡢࢸࣞࢥࣥぶᒁ࡜Ꮚᒁ㛫ࡢ㏻ಙ㐜ᘏ᫬㛫ࡢ୍౛࡜ࡋ࡚ࡣ㸪≧ែ್࡛᭱኱ 4 ⛊㸪ィ ್࡛᭱኱ 12 ⛊ 4)࡛࠶ࡾ㸪61850 ࢔ࢲࣉࢱࡣ༑ศᑐᛂ

©CRIEPI45

࡛ࡁࡿ࡜⪃࠼ࡽࢀࡿࠋ
ὀ1) ᚑ᮶ࡢ㏻ಙ᪉ᘧࡢ௦⾲ⓗ࡞ࡶࡢ࡜ࡋ࡚ࡣ㸪CDT㸦Cyclic Digital data Transmission㸧
㸪HDLC㸦High level Data Link Control㸧㸪
PMCN㸦Protocol for Mission Critical Network use㸧࡛࠶ࡿࠋ2) ୰㛫㏻ಙࢧ࣮ࣅࢫࡣ㸪ᚑ᮶㏻ಙ᪉ᘧ࡟࠾ࡅࡿ᝟ሗࡢ✀ู࡜ IEC 61850 ㏻ಙࢧ࣮ࣅࢫ࡜ࡢᑐᛂ௜ࡅࡍࡿࡓࡵࡢ୰㛫᝟ሗࡢࡇ࡜ࢆᣦࡍࠋ୰㛫㏻ಙࢧ࣮ࣅࢫࡢ௙ᵝࡢ᫂☜໬ཬࡧ TCP/IPࢆ⏝࠸ࡓᐇ⿦࡟ࡼࡾ㸪61850ᶵჾ㏻ಙ㒊࡜᪤タᶵჾ㏻ಙ㒊࡟࠾࠸࡚㸪␗࡞ࡿ࣓࣮࢝〇ရ㛫ࡢ┦஫㐠⏝ࢆྍ⬟࡜ࡍࡿࠋ3) ᚑ᮶㏻ಙ᪉ᘧ࡟࠾ࡅࡿ࣏ࢪࢩࣙࣥ㸪ไᚚ್㸪ཬࡧ≧ែ್ࡑࢀࡒࢀ࡟ᑐࡋ㸪IEC 61850 ࡟࠾ࡅࡿ᝟ሗࣔࢹࣝ㸪ไᚚ್㸪ཬࡧ≧ែ್࡜ࡢᑐᛂ௜ࡅࢆᰂ㌾࡟⾜࠺ࡓࡵ࡟እ㒊࠿ࡽᥦ౪ࡍࡿࢹ࣮ࢱࡢࡇ࡜ࢆᣦࡍࠋ
4) ࠕIP ᑐᛂᆺ CDT ⿦⨨ࡢ㛤Ⓨ㸪ᢏ⾡㛤Ⓨࢽ࣮ࣗࢫ No. 122㸪2006࡛ࠖࡣ㸪⣔⤫㐠⏝᝟ሗఏ㏦ࢩࢫࢸ࣒࡟࠾ࡅࡿఏ㏦㐜ᘏ᫬㛫ࡣ≧ែ್㸦SV㸧࡛᭱኱ 4 ⛊㸪ィ ್㸦TM㸧࡛᭱኱ 12 ⛊࡜♧ࡉࢀ࡚࠸ࡿࠋ

ᅗ ࢔ࢲࣉࢱࡢࢩࢫࢸ࣒ᵓᡂ

ᅗ ࢔ࢲࣉࢱヨసᶵ࡟࠾ࡅࡿືస☜ㄆヨ㦂ᵓᡂ &'7 ヨసᶵ ࢱࢵࣉไᚚ⮬ື㸭ᡭືษ᭰㐣㟁ᅽ ࣮ࣜࣞ
౑⏝㸭୙౑⏝ษ᭰㐽᩿ჾ ≧ែ
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Ⓨ⏕/᚟ᖐ┘どIED ␗ᖖ
Ⓨ⏕/᚟ᖐ┘どIED ไᚚ
㐲᪉/┤᥋ษ᭰

ᅗᶵჾ㏻ಙ㒊࡟࠾ࡅࡿ≧ែ್ኚ᥮᫬㛫㸦᭱ᑠ್㸪᭱኱್㸪ᖹᆒ್㸧

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967/5(9࡟ᇶ࡙ࡃⓎኚ㟁ᡤపᅽไᚚᅇ㊰ࡢࢧ࣮ࢪゎᯒᢏ⾡ࡢ㛤Ⓨ㸦ࡑࡢ㸰㸧㸫㔠ᒓࢩ࣮ࢫ௜ไᚚ⥺ࡢࣔࢹࣝ໬ᡭἲࡢ㛤Ⓨ࡜ࡑࡢไᚚ⥺ㄏᑟࢧ࣮ࢪゎᯒ࡬ࡢ㐺⏝㸫❧ᯇ ᫂ⰾ㸨  ᒣ୰ ❶ᩥ㸨

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*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ◊✲ဨ

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47⫼  ᬒⓎኚ㟁ᡤࡢపᅽไᚚᅇ㊰࡟࠾࠸࡚㸪㞾ࢧ࣮ࢪ࡞࡝࡟㉳ᅉࡋ࡚㞀ᐖࡀⓎ⏕ࡋ㸪౪⤥ᨭ㞀࡟⮳ࡿࡇ࡜ࡀᠱᛕࡉࢀ࡚࠸ࡿࠋᙜヱᅇ㊰ࡢ㐺ษ࡞ࢧ࣮ࢪ࣭࢖࣑ࣗࢽࢸ࢕ᑐ⟇ࢆ☜❧ࡍࡿࡓࡵ࡟㸪ࡇࢀࡲ࡛㸪ࢧ࣮ࢪ⌧㇟ࡢᐇ㦂ⓗ࡞ホ౯࡜࡜ࡶ࡟㸪ࢧ࣮ࢪ࣭㐣Ώ㟁☢⏺⌧㇟ゎᯒࣉࣟࢢ࣒ࣛ967/5(9 ὀ  >@ࢆ⏝࠸ࡿࡇ࡜࡛㸪᥋ᆅ⥙ࢆྵࡴㄏᑟࢧ࣮ࢪ⌧㇟ࡢ㧗⢭ᗘ࡞ゎᯒࡀྍ⬟࡛࠶ࡿࡇ࡜ࢆ᫂ࡽ࠿࡟ࡋࡓ>@ࠋࡲࡓ㸪967/5(9ࢆపᅽไᚚᅇ㊰ࡢࢧ࣮ࢪ⌧㇟ࡢゎᯒ࡟㐺⏝ࡍࡿࡓࡵ࡟㸪ಖㆤ⥅㟁⿦⨨ࡸィჾ⏝ኚᡂჾࡢᶍᨃᡭἲࢆ㛤Ⓨࡋࡓࠋࡉࡽ࡟㸪
967/5(9ࢆ⏝࠸㸪ኚ㟁ᡤ࡬౵ධࡍࡿ㞾࡟㉳ᅉࡋ࡚㸪୺ᅇ㊰ࡸ᥋ᆅ⥙ࢆఏᦙࡍࡿࢧ࣮ࢪ
࡟ࡼࡿไᚚ⥺ㄏᑟ㟁ᅽࡢゎᯒࢆ⾜ࡗ࡚ࡁࡓ>@>@ὀ  ࠋࡋ࠿ࡋ㸪ࡇࢀࡽࡢゎᯒ࡛ࡣ㸪పᅽไᚚᅇ㊰ࡢࢧ࣮ࢪᑐ⟇࡜ࡋ࡚⏝࠸ࡽࢀࡿ㔠ᒓࢩ࣮ࢫ௜ไᚚ⥺ࡢຠᯝࡣ᳨ウࡉࢀ࡚࠸࡞࠸ࠋ┠  ⓗ
967/5(9࡟ᇶ࡙ࡃ㞾ࢧ࣮ࢪゎᯒࡢࡓࡵࡢ㔠ᒓࢩ࣮ࢫ௜ไᚚ⥺ࡢࣔࢹࣝ໬ᡭἲࢆ㛤Ⓨࡍࡿࠋࡉࡽ࡟㸪᥋ᆅᵓ㐀≀࡟౵ධࡋࡓ㞾࢖ࣥࣃࣝࢫ㟁ὶ࡟ࡼࡗ࡚ไᚚ⥺࡟ㄏᑟࡉࢀࡿ㟁
ᅽࢆ967/5(9ࢆ⏝࠸࡚ィ⟬ࡋ㸪ᐇ ⤖ᯝ࡜ࡢẚ㍑࡟ࡼࡾࡑࡢጇᙜᛶࢆ᳨ドࡍࡿࠋ୺࡞ᡂᯝ 㔠ᒓࢩ࣮ࢫ௜ไᚚ⥺ࡢࣔࢹࣝ໬ᡭἲࡢ㛤Ⓨ
967/5(9ࢆపᅽไᚚᅇ㊰ࡢ㞾ࢧ࣮ࢪゎᯒ࡟㐺⏝ࡍࡿࡓࡵ㸪)'7' ἲ࡟ᇶ࡙ࡃࢧ࣮ࢪゎᯒࡢࡓࡵࡢ㸪㔠ᒓࢩ࣮ࢫ௜ไᚚ⥺ࡢࣔࢹࣝ໬ᡭἲࢆ㛤Ⓨࡋࡓࠋᮏࣔࢹ࡛ࣝࡣ㸪ไᚚ⥺ࡢ㔠ᒓࢩ࣮ࢫࡣ)'7' ἲࡢ⣽⥺ᑟయ࡛ᶍᨃࡋ㸪㔠ᒓࢩ࣮ࢫࢆఏᦙࡍࡿ㟁ὶ࡟ࡼࡗ࡚ไᚚ⥺ෆࡢᚰ⥺࡟⏕ࡌࡿㄏᑟ㟁ᅽ࣭㟁ὶࡣ㸪㔠ᒓࢩ࣮ࢫ㸫ᚰ⥺㛫ࡢ⾲㠃ఏ㐩࢖ࣥࣆ࣮ࢲࣥࢫࡢ
ᙳ㡪ࢆ⪃៖ࡋࡓఏ㏦᪉⛬ᘧࢆゎࡃࡇ࡜࡟ࡼࡗ࡚ồࡵࡿ㸦ᅗ 㸧ࠋ
 967/5(9ࡢపᅽไᚚᅇ㊰ࡢ㞾ࢧ࣮ࢪゎᯒ࡬ࡢ㐺⏝㔠ᒓࢩ࣮ࢫ௜ไᚚ⥺㸦㔠ᒓࢩ࣮ࢫࡣ୧➃࡛᥋ᆅ㸧ࢆ⏝࠸࡚పᅽไᚚᅇ㊰ࡢᐇ㦂ᅇ㊰㸦ィჾ⏝ኚὶჾ㸦&7㸧㸫ไᚚ⥺㸫ࢹ࢕ࢪࢱࣝᆺಖㆤ⥅㟁⿦⨨㸧ࢆᵓ⠏ࡋ㸪ୖグࡢࣔࢹࣝ໬ᡭἲࢆᐇ⿦ࡋࡓ967/5(9࡟࠾࠸࡚㔠ᒓࢩ࣮ࢫ௜ไᚚ⥺ࢆ᭷ࡍࡿᐇ㦂ᅇ㊰ࢆᶍᨃࡋࡓࠋ
ḟ࡟㸪᥋ᆅᵓ㐀≀࡟㞾࢖ࣥࣃࣝࢫ㟁ὶࢆὀධࡋࡓ㝿ࡢ㸪᥋ᆅᵓ㐀≀ࡢ㐣Ώ㟁఩ୖ᪼㸪ไᚚ⥺ࡢ㔠ᒓࢩ࣮ࢫࢆఏᦙࡍࡿ㟁ὶ㸪ไᚚ⥺࡟ㄏᑟࡉࢀࡿ㟁ᅽࢆィ⟬ࡋࡓ㸦ᅗ 㸧ࠋࡇࡢ⤖ᯝ㸪967/5(9࡟ࡼࡿィ⟬Ἴᙧࡣ㸪ᐇ㦂ᅇ㊰࡟࠾ࡅࡿᐇ Ἴᙧ࡜Ⰻዲ࡟୍⮴ࡋ࡚࠾ࡾ㸪ᮏࣔࢹࣝ໬ᡭἲࡢጇᙜᛶࢆ☜ㄆࡋࡓࠋࡇࢀ࡟ࡼࡾ㸪967/5(9࡟ᇶ࡙ࡃࢧ࣮ࢪゎᯒ࡟࠾࠸࡚㸪୧➃᥋ᆅࡉࢀࡓ㔠ᒓࢩ࣮ࢫ࡟ࡼࡿㄏᑟ㟁ᅽࡢపῶຠᯝࡢホ౯ࢆྍ⬟࡜ࡋࡓࠋὀ 9LUWXDO6XUJH7HVW/DE5HVWUXFWXUHGDQG([WHQGHG9HUVLRQ ࡢ␎࡛㸪ᩘ್㟁☢⏺ィ⟬ᡭἲ㸦)'7' ἲ㸧࡟ᇶ࡙ࡃゎᯒࢶ࣮ࣝࠋ
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㐣Ώ㟁఩ୖ᪼ᅗ  967/5(9࡟ᇶ࡙ࡃపᅽไᚚᅇ㊰ࡢ㞾ࢧ࣮ࢪゎᯒ㸦ẚ㍑ࡢࡓࡵ㸪㔠ᒓࢩ࣮ࢫࡀ࡞࠸ไᚚ⥺ࢆ⏝࠸ࡓሙྜࡢㄏᑟ㟁ᅽࡢィ⟬⤖ᯝ࡜ᐇ ⤖ᯝࡶᕥୖ࡟♧ࡍࠋ㸧㛵㐃ሗ࿌᭩㸸>@+ࠕࢧ࣮ࢪ࣭㐣Ώ㟁☢⏺⌧㇟ゎᯒࣉࣟࢢ࣒ࣛ967/5(9ࡢ㛤Ⓨ㸫)'7'ἲ࡟ᇶ࡙ࡃ 967/5(9ࡢ㛤Ⓨ࡜㟁ຊ୺せタഛࡢ㞾࣭㛤㛢ࢧ࣮ࢪゎᯒ࡬ࡢ㐺⏝㸫ࠖ  >@+ࠕపᅽไᚚᅇ㊰ࡢ㞾ࢧ࣮ࢪ≉ᛶ㸫ࡑࡢ㸰㸫ไᚚ⥺ㄏᑟࢧ࣮ࢪ㟁ᅽィ⟬࡬ࡢ 967/ࡢ㐺⏝㸫ࠖ  >@+ࠕ967/5(9࡟ᇶ࡙ࡃⓎኚ㟁ᡤపᅽไᚚᅇ㊰ࡢࢧ࣮ࢪゎᯒᢏ⾡ࡢ㛤Ⓨ㸫ಖㆤ⥅㟁⿦⨨࣭ィჾ⏝ኚᡂჾࡢࣔࢹࣝ໬ᡭἲࡢ㛤Ⓨ࡜ࡑࡢไᚚ⥺ㄏᑟࢧ࣮ࢪゎᯒ࡬ࡢ㐺⏝㸫ࠖ  >@+ࠕ᥋ᆅ⥙࡟౵ධࡋࡓ㞾࢖ࣥࣃࣝࢫ㟁ὶ࡟ࡼࡿపᅽไᚚᅇ㊰࡬ࡢㄏᑟ㟁ᅽ≉ᛶ㸫ไᚚ⥺ᕸタ⤒㊰ࡢᙳ㡪ࡢᐇ㦂ⓗ࣭ゎᯒⓗホ౯㸫ࠖ  ©CRIEPI
49

࣮ࣞࢨㄏ㉳ࣈࣞ࢖ࢡࢲ࢘ࣥศගἲࢆ⏝࠸ࡓࢼࣀࢥ࣏ࣥࢪࢵࢺ⤯⦕ᮦᩱ୰ࡢࢼࣀࣇ࢕࣮ࣛศᕸホ౯ἲࡢ㛤Ⓨ㸫ᐇつᶍヨᩱ࡟㐺⏝ྍ⬟࡞ホ౯ἲࡢᥦ᱌㸫㸫୕ᆏ ⱥᶞ㸨Ụ⸨ ಟ୕㸨࣮࣮࢟࣡ࢻ㸸ࢼࣀࢥ࣏ࣥࢪࢵࢺ⤯⦕ᮦᩱࢼࣀࣇ࢕࣮ࣛ
ࣇ࢕࣮ࣛศᕸホ౯
LIBS
ᐇつᶍヨᩱ

㊊❧ ࿴㑻㸨

Key Words㸸Polymer nanocomposite dielectrics
Nanofiller
Evaluation of filler distribution
Laser-induced breakdown spectroscopy
Full-scale sample

Development of evaluation method for the nanofiller distribution
in polymer composite dielectrics using laser-induced breakdown spectroscopy- Proposal of an evaluation method applicable to full-scale samples Hideki Misaka, Shuzo Eto, and Kazuo Adachi

Abstract
Polymer nanocomposite dielectrics, in which nanofillers are added to the resin, are being applied to various electric power
equipment because of their improved insulation performance and other functionalities. The uniform distribution of nanofillers
in the polymer nanocomposite is important to achieve the high functionality. To evaluate the distribution of nanofillers,scanning electron microscopy (SEM) has been widely used. However, the evaluation results of nanofiller distribution by SEM
images do not necessarily represent the distribution trend of the entire bulk sample. Therefore, a new nanofiller evaluation
method has been proposed for the evaluation of the entire bulk sample, and its applicability as an evaluation method is
confirmed using polymer nanocomposite dielectric sample. Conventional methods for evaluating the distribution of nanofillers
have applied analytical methods with high spatial resolution and to evaluate the distribution of individual filler particles byusing images. The proposed method is to evaluate the total amount of nanofiller particles contained in a fixed volume as theconcentration. LIBS is expected to be an analytical method for estimating the concentration of nanofiller particles as peakintensity. LIBS was applied to nanocomposite materials containing alumina nanoparticles and was found to have sufficient
detection sensitivity. The deviation of the peak intensity ratio was used to estimate the variation of the nanofiller distribution,and it was estimated that the variation of the nanofiller distribution in the bulk sample was small and uniform.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୺௵◊✲ဨ*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୖᖍ◊✲ဨ

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⫼  ᬒᶞ⬡୰࡟ࢼࣀࣇ࢕࣮ࣛࢆῧຍࡋࡓࢼࣀࢥ࣏ࣥࢪࢵࢺ⤯⦕ᮦᩱὀ1㸧ࡣ㸪⤯⦕ᛶ⬟ࢆྵࡴྛ✀ᶵ⬟ᛶࡀྥୖ࣭Ⓨ⌧ࡍࡿࡇ࡜࠿ࡽ㸪㉸㧗ᅽ┤ὶ CV ࢣ࣮ࣈࣝ࡟࠾࠸࡚ᐇ⏝໬ࡉࢀ㸪⌧ᅾࡶᵝࠎ࡞㟁ຊᶵჾ࡬ࡢ㐺⏝ࡀ㐍ࡵࡽࢀ࡚࠸ࡿ [1]ࠋࢼࣀࢥ࣏ࣥࢪࢵࢺ⤯⦕ᮦᩱࡢᶵ⬟ᛶ
Ⓨ⌧࡟ࡣ㸪ᮦᩱ୰ࡢࢼࣀࣇ࢕࣮ࣛࡀᆒ୍࡟ศᕸࡋ࡚࠸ࡿⅬࡀ㔜せ࡛࠶ࡾ㸪㉮ᰝ㟁Ꮚ㢧ᚤ㙾 (SEM) ࡟ࡼࡿほᐹࡀከ⏝ࡉࢀ࡚ࡁࡓࠋSEM ࡟ࡼࡿホ౯ࡣ㸪ᮦᩱ୰ࡢᒁᡤⓗ࡞ࢼࣀࣇ࢕
࣮ࣛࡢศᕸ࡜ศᩓὀ2㸧ࢆᢕᥱ࡛ࡁࡿࡀ㸪ྛ✀๓ฎ⌮ὀ3㸧ࡀᚲせ࡜࡞ࡿࡇ࡜࠿ࡽ㸪ࣂࣝࢡヨᩱὀ4㸧ࡢ඲యࢆᑐ㇟࡜ࡍࡿࡇ࡜ࡣᅔ㞴࡛࠶ࡿࠋࡑࡢࡓࡵ㸪SEM ࡟ࡼࡿホ౯ἲ࡜஫࠸࡟⿵᏶
ࡋྜ࠺ࡇ࡜ࡢ࡛ࡁࡿ㸪ࣂࣝࢡヨᩱ඲యࢆᑐ㇟࡜ࡋࡓホ౯ἲࡀồࡵࡽࢀ࡚࠸ࡿࠋ┠  ⓗ〇ရࢧ࢖ࢬࢆ᝿ᐃࡋࡓࢼࣀࢥ࣏ࣥࢪࢵࢺ⤯⦕ᮦᩱ࡟ࡶ㐺⏝ྍ⬟࡞ࢼࣀࣇ࢕࣮ࣛศᕸホ౯ἲࢆᥦ᱌ࡍࡿ࡜࡜ࡶ࡟㸪ࡑࡢホ౯ᡭἲࡢࣂࣝࢡヨᩱ࡬ࡢ㐺⏝ᛶࢆ☜ㄆࡍࡿࠋ୺࡞ᡂᯝࢼࣀࣇ࢕࣮ࣛศᕸホ౯ἲࡢᥦ᱌
ࢼࣀࣇ࢕࣮ࣛศᕸホ౯ἲࢆ᳨ウࡍࡿୖ࡛㸪⾲㠃ࡸᚤᑠ㒊࡟ᑐࡍࡿྛ✀ศᯒἲࢆẚ㍑ࡋ
ࡓ (⾲ 1)ࠋ᪤Ꮡࡢホ౯ἲ (SEM ࡸ TEM ࡞࡝) ࡣ㸪ᖹ㠃ศゎ⬟ࡢ㧗ࡉ࡟ࡼࡾࢼࣀࣇ࢕࣮ࣛࢆ
⢏Ꮚ࡛ࣞ࣋ࣝ㆑ูࡍࡿࡇ࡜࡛㸪ᒁᡤⓗ࡞ศᕸ࡜ศᩓࢆホ౯ࡍࡿᡭἲ࡜ᩚ⌮࡛ࡁࡿࠋࡇࢀ
࡟ᑐࡋ㸪ࣂࣝࢡヨᩱ඲యࢆホ౯ࡍࡿᡭἲ࡜ࡋ࡚㸪୍ᐃయ✚୰࡟ྵࡲࢀࡿࢼࣀࣇ࢕࣮ࣛ⢏Ꮚࡢ⥲㔞ࢆ⃰ᗘ࡜ࡋ࡚ᤊ࠼㸪ศᕸホ౯ࢆ⾜࠺᪂ࡓ࡞ᡭἲࢆᥦ᱌ࡋࡓࠋࡇࡢ᪂ᡭἲ࡛ࡣ㸪ศᕸホ౯ࢆ⾜ࡗࡓᑐ㇟✵㛫ࡢ⢭ᗘ࡜ィ ྍ⬟ᛶࡢⅬ࠿ࡽ㸪࣮ࣞࢨㄏ㉳ࣈࣞ࢖ࢡࢲ࢘ࣥศගἲ (LIBS) ὀ5㸧ࡀ᭱㐺࡛࠶ࡿࡇ࡜ࢆぢฟࡋࡓࠋ /,%6 ࡢࢼࣀࣇ࢕࣮ࣛศᕸホ౯ἲ࡜ࡋ࡚ࡢ㐺⏝ᛶࡢ☜ㄆᮏヨ㦂࡟౪ࡍࡿࣂࣝࢡヨᩱὀ6㸧࡬ LIBS (ᅗ 1) ࢆ㐺⏝ࡋࡓ࡜ࡇࢁ㸪ྵ᭷⋡ 1 vol%ࡢ Al2O3
ࢼࣀࣇ࢕࣮ࣛ୰ࡢ Al ⏤᮶ࣆ࣮ࢡࡀ☜ㄆࡉࢀ㸪༑ศ࡞᳨ฟឤᗘࢆࡶࡘࡇ࡜ࢆ☜ㄆࡋࡓࠋࡲࡓ㸪 ᐃࡈ࡜ࡢࣆ࣮ࢡᙉᗘࡢኚືࡀ኱ࡁ࠸ࡇ࡜࠿ࡽὀ7㸧㸪ホ౯ᣦᶆ࡜ࡋ࡚ Al ࡜ Ti ࡟⏤᮶ࡍࡿࣆ࣮ࢡ (ᅗ 2) ࡢᙉᗘẚ࡛࠶ࡿ Al/Ti ẚ࡟╔┠ࡋࡓࠋࡇࡢ Al/Ti ẚ࡟ࡘ࠸࡚㸪 ᐃ⟠ᡤࡈ࡜ࡢᖹᆒ್࡜㸪඲ ᐃࢹ࣮ࢱ (ᅗ 3) ࡢᖹᆒ್࡜ࡢ೫ᕪࢆẚ㍑ࡋ㸪Al2O3 ࢼࣀࣇ࢕࣮ࣛࡢศᕸ
ࡢࡤࡽࡘࡁࢆ᥎ᐃࡋࡓࠋࡑࡢ⤖ᯝ㸪Al/Ti ẚࡢᖹᆒ್ࡢࡤࡽࡘࡁࡣࢃࡎ࠿࡛࠶ࡾ㸪ࢼࣀࣇ࢕࣮ࣛࡢ᥎ᐃྵ᭷⋡ࡣ 0.96~1.04 vol%࡜ぢ✚ࡶࡽࢀࡓ (⾲ 2)ࠋࡇࡢ⤖ᯝࡼࡾ㸪ࣂࣝࢡヨᩱ୰ࡢࢼࣀࣇ࢕࣮ࣛࡢ✵㛫ศᕸࡣ㸪ヨᩱෆ࡛ᆒ୍࡛࠶ࡿࡇ࡜ࢆ᥎ᐃࡋࡓࠋ
௨ୖࡼࡾ㸪᪂ࡓ࡞ࢼࣀࣇ࢕࣮ࣛศᕸホ౯ἲ࡜ࡋ࡚ LIBS ࢆ⏝࠸ࡿᡭἲࢆᥦ᱌ࡋ㸪〇ရࢧ࢖ࢬࡢヨᩱ࡛ࡶ㎿㏿࠿ࡘ๓ฎ⌮࡞ࡃホ౯ࡀྍ⬟࡛࠶ࡿࡇ࡜ࢆ᫂ࡽ࠿࡜ࡋࡓࠋ

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⾲ ⾲㠃ࡸᚤᑠ㒊࡟ᑐࡍࡿศᯒἲࡢẚ㍑ὀ㸧ᅗ /,%6 ᐇ㦂⣔ࡢᵓᡂ⾲ /,%6 ᐃ࡟ࡼࡾồࡵࡓ
$O7L ẚ࡜᥎ᐃ $O2 ྵ᭷⋡ᅗ /,%6 ࢫ࣌ࢡࢺࣝୖ࡛╔┠ࡋࡓ $O ࠾ࡼࡧ 7L ࣆ࣮ࢡᅗ /,%6 ࢫ࣌ࢡࢺࣝࡼࡾྲྀᚓࡋࡓ $O7L ẚࡢࣄࢫࢺࢢ࣒ࣛ ඲ࢫ࣌ࢡࢺࣝ  ಶศ 

ὀ1㸧ᩘ༑ nm ࣮࢜ࢲ࣮ࡢ↓ᶵ⢏Ꮚ (Al2O3, TiO2, SiO2 ࡞࡝) ࡛࠶ࡿࢼࣀࣇ࢕࣮ࣛࢆΰධ㸪ᆒ୍ศᩓࡉࡏࡿࡇ࡜࡛㸪㟁Ẽⓗ≉ᛶࡸ⇕ⓗ≉ᛶ࡞࡝ࢆྥୖࡉࡏࡓ⤯⦕ᮦᩱࠋ
ὀ2㸧ࣇ࢕࣮ࣛࡢศᕸホ౯ࡣ㸪ᮦᩱ୰ࡢ୍ᐃయ✚࠶ࡓࡾ࡟Ꮡᅾࡍࡿࣇ࢕࣮ࣛ⢏Ꮚᩘࡢከᐻࢆホ౯ࡍࡿࡶࡢ࡛࠶ࡿࠋ୍᪉㸪ࣇ࢕࣮ࣛࡢศᩓホ౯ࡣ㸪ᮦᩱ୰࡟ศᕸࡍࡿྛࣇ࢕࣮ࣛ⢏Ꮚ࡟࠾ࡅࡿจ㞟ࡢ᭷↓ࢆホ౯ࡍࡿࡶࡢ࡛࠶ࡿࠋᮏሗ࿌࡛ࡣ㸪๓⪅ࢆᑐ㇟࡜ࡋ࡚࠾ࡾ㸪ᚋ⪅ࡣูᡭẁ࡟ࡼࡿホ౯ࡀᚲせ࡛࠶ࡿࠋ࡞࠾㸪〇㐀ᕤ⛬ୖࣇ࢕࣮ࣛ⢏Ꮚࡣ⢏ᚄศᕸࢆᣢࡘ
ࡀ㸪ᮏሗ࿌࡛ࡣ୍ᵝ࡞⢏ᚄࢆᣢࡘࡶࡢ࡜ࡳ࡞ࡍࠋ
ὀ3㸧ヨᩱ᩿㠃࡛ࡢホ౯ࡀ୺࡜࡞ࡿࡓࡵ㸪ヨᩱษ᩿࣭ᶞ⬡ໟᇙ࣭ほᐹ㠃ࡢ◊☻࣭ᑟ㟁໬ฎ⌮࡞࡝ࡢ඲࡚㸪࠶ࡿ࠸ࡣ」ᩘࢆ
ᐇ᪋ࡍࡿᚲせࡀ࠶ࡿࠋὀ4㸧ᮏሗ࿌࡛ࡣ㸪〇ရࢧ࢖ࢬࢆ᝿ᐃࡋࡓ 10 cm ࢆ㉸࠼ࡿࢧ࢖ࢬࢆᣢࡘヨᩱࢆࣂࣝࢡヨᩱ࡜࿧⛠ࡍࡿࠋ୍౛࡜ࡋ࡚㸪60kV⣭ GIS ⏝ࢫ࣮࣌ࢧࡣ┤ᚄ 30 cm ⛬ᗘࡢ኱ࡁࡉࢆᣢࡘࠋ௚᪉㸪ᐇ㦂ᐊ࡛ࣞ࣋ࣝࡢヨᩱᙧែࡣᩘ cm ᅄ᪉ࡢᯈ≧ヨᩱ࡞࡝࡛࠶ࡾ㸪ୖグࡢྛ✀๓ฎ⌮ࡸ SEM ほᐹࡀᐜ࡛᫆࠶ࡿࠋ
ὀ5㸧࣮ࣞࢨㄏ㉳ࣈࣞ࢖ࢡࢲ࢘ࣥศගἲࡣ㸪࣮ࣞࢨගࢆ ᐃᑐ㇟≀࡟㞟ගࡍࡿࡇ࡜࡛ࣉࣛࢬ࣐ࢆⓎ⏕ࡉࡏ㸪ࡑࡢࣉࣛࢬ࣐
࠿ࡽࡢⓎගࢆศගࡍࡿࡇ࡜࡟ࡼࡾ㸪Ἴ㛗࠿ࡽྵ᭷ඖ⣲ࡢ✀㢮ࢆ㸪Ⓨගᙉᗘ࠿ࡽࡑࡢྵ᭷㔞ࢆ ᐃࡍࡿศᯒἲ࡛࠶ࡿࠋ
ὀ6㸧௒ᅇ౪ヨࡋࡓࢼࣀࢥ࣏ࣥࢪࢵࢺ⤯⦕ᮦᩱࡣ㸪GIS ࢫ࣮࣌ࢧ⏝㏵࡜ࡋ࡚㛤Ⓨ୰ࡢ࢚࣏࢟ࢩ⣔ࢼࣀࢥ࣏ࣥࢪࢵࢺᮦᩱ࡛
࠶ࡾ㸪Al2O3 ࢼࣀࣇ࢕࣮ࣛ࡜ඹ࡟㸪SrTiO3 ࠾ࡼࡧ SiO2 ࣐࢖ࢡࣟࣇ࢕࣮ࣛࡀῧຍࡉࢀ࡚࠸ࡿࠋ
ὀ7㸧Ⓨගᙉᗘࡢࡤࡽࡘࡁࡣ㸪⏕ᡂࡉࢀࡿࣉࣛࢬ࣐ ᗘࡢࡤࡽࡘࡁ࡟㉳ᅉࡍࡿࡶࡢ࡛࠶ࡿࡀ㸪ᮏヨᩱࡢࡼ࠺࡟ࣇ࢕࣮ࣛࡀ
ෆໟࡉࢀࡓ」ྜᮦᩱࡢሙྜ࡟ࡣ㸪࢔ࣈ࣮ࣞࢩࣙࣥࡉࢀࡿᮦᩱࡢ⤌ᡂࡢࡤࡽࡘࡁࡀ㸪ࣉࣛࢬ࣐ ᗘࢆࡉࡽ࡟ኚືࡉࡏࡿせᅉ࡟࡞ࡿ࡜⪃࠼ࡽࢀࡿࠋ
ὀ8㸧SEM; ㉮ᰝ㟁Ꮚ㢧ᚤ㙾, TEM; ㏱㐣㟁Ꮚ㢧ᚤ㙾, X ⥺ CT; X ⥺ࢥࣥࣆ࣮ࣗࢱ᩿ᒙ᧜ᙳ, ȝXRF; ᚤᑠ㒊⺯ග X ⥺ศᯒ, 㢧ᚤ࣐ࣛࣥ; ඹ↔Ⅼ㢧ᚤ࣐ࣛࣥศගศᯒ, 㢧ᚤ FT-IR; 㢧ᚤ㉥እศගศᯒ, SEM-EDX; ㉮ᰝ㟁Ꮚ㢧ᚤ㙾-࢚ࢿࣝࢠ࣮ศᩓᆺ X ⥺ศᯒ, LIBS; ࣮ࣞࢨㄏ㉳ࣈࣞ࢖ࢡࢲ࢘ࣥศගศᯒ
[1] 㐍໬ࡍࡿࢸ࣮࣮࣓ࣛ࢖ࢻࢥ࣏ࣥࢪࢵࢺ⤯⦕ᮦᩱ࡟㛵ࡍࡿㄪᰝᑓ㛛ጤဨ఍㸪㟁ẼᏛ఍ᢏ⾡ሗ࿌➨ 1455 ྕ㸪2019.

©CRIEPI52㟁ຊ⣔⤫ࡢ࿘ἼᩘᏳᐃᛶࡢ⥔ᣢ࡟㈨ࡍࡿ 㟂せഃ࢖ࣥࣂ࣮ࢱࡢไᚚ᪉ἲ࡟㛵ࡍࡿᇶ♏᳨ウ㸫⣔⤫㈇Ⲵࡢ㟁ᅽ࣭࿘Ἴᩘ࡟ᑐࡍࡿ⮬ᕫไᚚᛶࢆ
ᶍᨃࡋࡓ᭷ຠ㟁ຊไᚚ㸫బ⸨ ຬே㸨ቑ⏣ ᐀⣖㸨࣮࣮࢟࣡ࢻ㸸㟁ຊ⣔⤫ࡢࣞࢪ࢚ࣜࣥࢫ
࿘ἼᩘᏳᐃᛶ
㈇Ⲵ≉ᛶ
ኴ㝧ගⓎ㟁
㟁Ẽ⮬ື㌴

ኳ㔝 ༤அ㸨

Key Words㸸Power System Resilience
Frequency Stability
Load Characteristics
Photovoltaic
Electric Vehicle

A Basic Study on Control Method of Demand Side Inverter to Ensure Frequency
Stability of Power Systems- Active Power Control Method Emulating Load Characteristics Responses to variations
in Voltage and FrequencyHayato Satoh, Muneki Masuda and Hiroyuki Amano

Abstract
In Japan, it is an important issue to ensure sufficient frequency control reserves for realizing decarbonization and ensuring
frequency stability of power systems. Conventionally, load characteristics contribute to suppressing frequency fluctuations andvoltage fluctuations in the time domain corresponding to the containment reserve and the faster domain. However, in recent
years, the contribution of load characteristics is assumed to be on a declining trend. From this perspective, the use of demandside devices has been discussed. It is recognized that the addition of frequency stabilization control function to demand-side
inverters for photovoltaic, electric vehicles, etc., will be one of the effective measures.
Therefore, the authors proposed an effective power control method suitable for demand-side inverters that contribute toensuring frequency stability. The proposed method was applied to the actual machine in CRIEPI’s power system simulator,
and a lab test confirmed its characteristics. In addition, the proposed method was validated through time-domain RMS
simulations using the IEEJ WEST 30-machine system model. This report clarifies the effectiveness of the proposed methodand discusses issues and measures to ensure control reserves using demand-side inverters.
*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ୺௵◊✲ဨ*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ◊✲ဨ
*3 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ๪◊✲ཧ஦ ◊✲᥎㐍࣐ࢿ࣮ࢪ࣮ࣕ

©CRIEPI53⫼  ᬒ ࢃࡀᅜ࡛ࡣ㸪㟁ຊ⣔⤫ࡢ⬺Ⅳ⣲໬࡜࿘ἼᩘᏳᐃᛶ⥔ᣢࡢ୧❧࡟ྥࡅ࡚㸪༑ศ࡞ㄪᩚຊ
ࡢ☜ಖࡀㄢ㢟࡜࡞ࡗ࡚࠸ࡿࠋࡇࢀࡲ࡛㸪⣔⤫㈇Ⲵࡣ⮬ᕫไᚚᛶ 1)࡟ࡼࡾ୍ḟㄪᩚຊ 2)࡜ࡑࢀࡼࡾࡶ㏿࠸᫬㛫㡿ᇦ㸦௨ୗ㸪ᑐ㇟᫬㛫㡿ᇦ㸧࡟࠾ࡅࡿ࿘Ἴᩘኚືࢆ⦆࿴ࡍࡿ࡜࡜ࡶ࡟
㟁ᅽኚືࡢ⦆࿴࡟㈉⊩ࡋ࡚ࡁࡓࡀ㸪㏆ᖺ㸪ࡇࢀࡀῶᑡഴྥ࡟࠶ࡿ࡜᝿ᐃࡉࢀࡿ 3)ࠋࡇࡢࡼ
࠺࡞ほⅬ࠿ࡽ㸪㟂せഃᶵჾࡢά⏝ࡶ㆟ㄽࡉࢀ࡚࠾ࡾ 4, 5)㸪୺࡜ࡋ࡚పᅽ࡟㐃⣔ࡉࢀࡿ㟁Ẽ⮬ື㌴㸦௨ୗ㸪EV㸧ࡸኴ㝧ගⓎ㟁㸦௨ୗ㸪PV㸧➼ࡢ㟂せഃ࢖ࣥࣂ࣮ࢱ࡟࿘ἼᩘᏳᐃᛶ⥔ᣢ࡟㈨ࡍࡿไᚚᶵ⬟ࢆ௜ຍࡍࡿࡇ࡜ࡀ᭷ຠ࡞ᑐ⟇ࡢ୍ࡘ࡟࡞ࡿ࡜⪃࠼ࡽࢀ࡚࠸ࡿࠋ┠  ⓗ࿘ἼᩘᏳᐃᛶ⥔ᣢ࡟㈨ࡍࡿ㟂せഃ࢖ࣥࣂ࣮ࢱ࡟㐺ࡋࡓ᭷ຠ㟁ຊไᚚ᪉ἲࢆᥦ᱌ࡋ㸪ࡑࡢຠᯝࢆࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡾ᳨ドࡍࡿࠋࡲࡓ㸪㟂せഃ࢖ࣥࣂ࣮ࢱࢆά⏝ࡋ࡚ᑐ㇟᫬
㛫㡿ᇦࡢㄪᩚຊࢆ☜ಖࡋ࡚࠸ࡃࡓࡵࡢㄢ㢟࡜ᑐᛂ࡟ࡘ࠸࡚ᩚ⌮ࡍࡿࠋ୺࡞ᡂᯝ ࿘ἼᩘᏳᐃᛶ⥔ᣢ࡟㈨ࡍࡿ㟂せഃ࢖ࣥࣂ࣮ࢱ࡟㐺ࡋࡓ᭷ຠ㟁ຊไᚚ᪉ἲࡢᥦ᱌㟂せഃ࢖ࣥࣂ࣮ࢱࡢฟຊࢆ㟁ᅽኚື࡟ᛂࡌ࡚㐺ᐅㄪᩚࡋ㸪࿘Ἴᩘኚືࡢ⦆࿴࡜㟁ᅽኚືࡢ⦆࿴ࢆ୧❧ࡉࡏࡿไᚚᶵ⬟࡜ࡋ࡚㸪⣔⤫㈇Ⲵࡢ㟁ᅽ࣭࿘Ἴᩘ࡟ᑐࡍࡿ⮬ᕫไᚚᛶࢆ
ࠋᶍᨃࡋࡓ᭷ຠ㟁ຊไᚚ᪉ἲ 6)ࢆᥦ᱌ࡋࡓ㸦ᅗ 1㸧
 ࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡿᥦ᱌ไᚚࡢ᳨ドᥦ᱌ไᚚࡢ㐺⏝ຠᯝࢆ㸪㟁ẼᏛ఍ WEST30 ᶵ⣔⤫ࣔࢹ࡛ࣝࡢ㟁※⬺ⴠࢆ᝿ᐃࡋࡓ Y ἲࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡾ᳨ドࡋࡓࠋࡑࡢ⤖ᯝ㸪඘㟁᫬ࡢ EVࢆᶍᨃࡋࡓ㟂せഃ࢖ࣥࣂ࣮ࢱ
ࡀྛ㈇Ⲵࣀ࣮ࢻࡢ㟁ᅽࡢୖ᪼㸦పୗ㸧࡟ᛂࡌ࡚᭷ຠ㟁ຊࢆῶᑡ㸦ቑຍ㸧ࡉࡏࡿࡇ࡜࡛㸪⣔⤫㈇Ⲵࡢ⮬ᕫไᚚᛶࡀྥୖࡋ㸪㟁ᅽኚືࢆ⦆࿴ࡋࡘࡘ࿘Ἴᩘࡢపୗࢆᢚไ࡛ࡁࡿࡇ࡜
ࢆ☜ㄆࡋࡓ㸦ᅗ 2㸧ࠋ 㟂せഃ࢖ࣥࣂ࣮ࢱࢆά⏝ࡋࡓᑐ㇟᫬㛫㡿ᇦࡢㄪᩚຊ☜ಖ࡟࠾ࡅࡿㄢ㢟࡜ᑐᛂ௒ᚋ㸪ᑟධᣑ኱ࡀぢ㎸ࡲࢀࡿ EV ࡣ㸪PV ࡜ẚ㍑ࡋ࡚᫬㛫ⓗ࡞ไ⣙ࡀᑠࡉࡃᑐ㇟᫬㛫㡿ᇦࡢㄪᩚຊ࡜ࡋ࡚㝶᫬ά⏝࡛ࡁࡿྍ⬟ᛶࡀ㧗࠸࡜⪃࠼ࡽࢀࡿࠋ㟂せഃ࢖ࣥࣂ࣮ࢱࢆά⏝ࡋ࡚࠸ࡃࡓࡵ࡟ࡣ㸪⾲ 1࡟♧ࡍ≉ᚩࢆ⪃៖ࡍࡿ࡜࡜ࡶ࡟㸪⾲ 2࡟♧ࡍㄢ㢟࡬ࡢᑐᛂࡀ㔜せ࡜࡞ࡿࠋὀ 1) ⣔⤫㈇Ⲵ࡜ࡣୖ఩⣔⤫࠿ࡽぢࡓ㟂せᐙᶵჾࡢ㞟ྜయ࡛࠶ࡾ㸪᭷ຠ㟁ຊࡢ⮬ᕫไᚚᛶࡣ㸪୍⯡࡟ୗᘧࡢᣦᩘ㛵ᩘࣔࢹ࡛ࣝ⾲⌧ࡉࢀࡿࠋ⣔⤫㈇ⲴࡢȽ୔ 㸪Ⱦ୔ ࡣ୍⯡࡟ṇࡢ್ࢆ࡜ࡾ㸪⣔⤫ࡢ㟁ᅽ࣭࿘Ἴᩘࡢపୗ㸦ୖ᪼㸧࡟ᑐࡋ࡚᭷ຠ㟁ຊࢆῶᑡ㸦ቑຍ㸧ࡉࡏࡿࡇ࡜࡛㟁ᅽ࣭࿘Ἴᩘࡢపୗ㸦ୖ᪼㸧ࡢ⦆࿴࡟㈉⊩ࡍࡿࠋ㟂せᐙᶵჾ༢య࡜ࡋ࡚㸪Ƚ୔ ࡣ 2 ⛬ᗘ㸦⇕㈇Ⲵ➼㸧㸪Ⱦ୔ ࡣ 6 ⛬ᗘ㸦ㄏᑟ࣮ࣔࢱ➼㸧ࡲ࡛ࡢ್ࢆ࡜ࡿࠋ

©CRIEPI54

୚ ஑౦

P ൌ P଴ ቀ୚ ቁబஒ౦

ቀ1 ൅ ଵ଴଴ ȟfቁȽ୔ 㸪Ⱦ୔ ‫ ׷‬᭷ຠ㟁ຊࡢ㟁ᅽ≉ᛶᣦᩘ࣭࿘Ἴᩘ≉ᛶಀᩘ㸪P଴ 㸪V଴ ‫ ׷‬᭷ຠ㟁ຊ࣭㟁ᅽࡢึᮇ್㸪ǼfҜᇶ‽࿘Ἴᩘ࡜ࡢ೫ᕪࠋ
2) ᮏ◊✲࡛ࡣ㸪Ⓨ㟁ᶵ➼ࡢ࢞ࣂࢼࣇ࣮ࣜ㸦GF㸧ไᚚࡢ᫬㛫㡿ᇦ࡟┦ᙜࡍࡿ࿘Ἴᩘㄪᩚຊࢆ㸪୍ḟㄪᩚຊ࡜⛠ࡍࠋ3) ୍⯡ⓗ࡟࢖ࣥࣂ࣮ࢱ㈇ⲴࡢȽ୔ 㸪Ⱦ୔ ࡣ 0 ࡛࠶ࡾ㸪࢖ࣥࣂ࣮ࢱ໬ࡢ㐍⾜࡟ࡼࡾ⣔⤫㈇ⲴࡢȽ୔ 㸪Ⱦ୔ ࡶ 0 ࡟㏆࡙࠸࡚࠸ࡃࠋ
4) ⤒⏘┬㸪ࠕ࣮࢝࣎ࣥࢽ࣮ࣗࢺࣛࣝࡢᐇ⌧࡟ྥࡅࡓ᳨ウࠖ㸪➨ 33 ᅇ⥲ྜ㈨※࢚ࢿࣝࢠ࣮ㄪᰝ఍ᇶᮏᨻ⟇ศ⛉఍㸦2020㸧
5) CIGRE TB 851: “Impact of High Penetration of Inverter-based Generation on System Inertia of networks”, JWG G2/C4.41 (2021)6) 㟁ᅽ࣭࿘Ἴᩘࡢ༢యไᚚࡣ࠶ࡿࡀ㸪ᥦ᱌ไᚚࡢࡼ࠺࡟㈇Ⲵ≉ᛶࢆᶍᨃࡋࡓࡶࡢࡣ௚࡟࡞࠸ࠋ
㡰₻ὶࡢ࢖ࣥࣂ࣮ࢱ㸦඘㟁᫬ࡢ EV㸧

㏫₻ὶࡢ࢖ࣥࣂ࣮ࢱ㸦PV㸪ᨺ㟁᫬ࡢ EV㸧

Ⱦ୮_ୡ
V ஑౦_ౙ
ቆ1 ൅ȟfቇP ൌ P଴ ൬ ൰
100
V଴

Ⱦ୮_ୡ
2V଴ െ V ஑౦_ౙ
൰
ቆ1 െ
ȟfቇ
P ൌ P଴ ൬
100
V଴ୖᘧ࡟ࡋࡓࡀࡗ࡚ฟຊᣦ௧್ࢆసᡂࡍࡿࠋǼI㸪9 ➼ࡣ⮬➃ࡢ᳨ฟ್㸦୙ឤᖏࢆタᐃྍ⬟㸧ࢆ⏝࠸ࡿࠋᅗ  ᥦ᱌ไᚚ࡟࠾ࡅࡿ㟂せഃ࢖ࣥࣂ࣮ࢱࡢฟຊᣦ௧್ࡢసᡂ᪉ἲ
䢢㈇Ⲵ≉ᛶᚑ᮶
䢢㈇Ⲵ≉ᛶῶᑡ
儲兠儭㟁ᅽ儲兠儭࿘Ἴᩘ೫ᕪ
䣝䣲䢰䣷䢰䣡ึᮇ್儽兠儝䣟䣝䣊䣼䣟

䢢㈇Ⲵ≉ᛶῶᑡ凝ᥦ᱌ไᚚ䢢㈇Ⲵ≉ᛶῶᑡ凝䣉䣈ไᚚ

䢲䢰䢲
䢯䢲䢰䢶
䢯䢲䢰䢺
䢯䢳䢰䢴

ᥦ᱌ไᚚ僑僮僰㟁ᅽኚື僸⦆࿴傽僊僊࿘Ἴᩘపୗ僸ᢚไྍ⬟

䢳䢰䢲䢴
䢳䢰䢲䢲
䢲䢰䢻䢺

㟁ᅽ僔పୗ凚ୖ᪼凛僑ᛂ傾僅᭷ຠ㟁ຊ僔ῶᑡ凚ቑຍ凛僑僮僰㟁ᅽ僔పୗ凚ୖ᪼凛僸⦆࿴

䢲䢰䢻䢸
䢳䢰䢳

䣇䣘僔඘㟁㟁ຊ䣝䣲䢰䣷䢰䣡ึᮇ್儽兠儝䣟䣇䣘僔඘㟁㟁ຊ䣝䣲䢰䣷䢰䣡ึᮇ್儽兠儝䣟儲兠儭㟁ᅽ儲兠儭࿘Ἴᩘ೫ᕪ
䣝䣲䢰䣷䢰䣡ึᮇ್儽兠儝䣟䣝䣊䣼䣟

䢢㈇Ⲵ≉ᛶᚑ᮶
䢢㈇Ⲵ≉ᛶῶᑡ

䢳䢰䢲
䢲䢰䢻
䢲䢰䢺

㟁ᅽኚື傲኱傳傪㈇Ⲵ儲兠儭働僕䣉䣈ไᚚ僎僔ᕪ傲኱傳傪

䢲䢰䢹
䢲

䢴

䢶

䢸
䢺
᫬㛫䢢䣝䣵䣟

䢳䢲

䢳䢴

䢲䢰䢲
䢯䢲䢰䢶
䢯䢲䢰䢺
䢯䢳䢰䢴
䢳䢰䢲䢴
䢳䢰䢲䢲
䢲䢰䢻䢺
䢲䢰䢻䢸
䢳䢰䢳
䢳䢰䢲
䢲䢰䢻
䢲䢰䢺

㟁ᅽኚື傲ᑠ傻傪㈇Ⲵ儲兠儭働僕䣉䣈ไᚚ僎僔ᕪ傲ᑠ傻傪

䢲䢰䢹
䢲

䢳䢶

㸦D㸧 㟁ᅽኚືࡀ኱ࡁ࠸㈇Ⲵࣀ࣮ࢻ

䢢㈇Ⲵ≉ᛶῶᑡ凝ᥦ᱌ไᚚ䢢㈇Ⲵ≉ᛶῶᑡ凝䣉䣈ไᚚ

䢴

䢶

䢸
䢺
᫬㛫䢢䣝䣵䣟

䢳䢲䢳䢴䢳䢶㸦E㸧㟁ᅽኚືࡀᑠࡉ࠸㈇Ⲵࣀ࣮ࢻ

2030 ᖺ 5 ᭶᫨㛫᩿㠃㸦㟂せ㸸6200 ୓ kW㸪PV ẚ⋡ 53%㸧࡟ 2040 ᖺ᝿ᐃࡢ EV ᑟධ㔞㸦㟂せẚ⋡ 10%㸧ࢆ཯ᫎࡋ㸪ࡍ࡭࡚ࡢ EV ࡟ᥦ᱌ไᚚ
㸪ղ㈇Ⲵ≉ᛶῶᑡࢣ࣮ࢫ࡛㸦Ƚ୔ = 0.5㸪Ⱦ୔ = 1.67㸧࡜௬ᐃࠋῶ
ࢆ㐺⏝ࠋ㈇Ⲵ≉ᛶࡢ᝿ᐃ್ࡣ㸪ձ㈇Ⲵ≉ᛶᚑ᮶ࢣ࣮ࢫ࡛㸦Ƚ୔ = 1.0㸪Ⱦ୔ = 3.33㸧
㸪࠾ࡼࡧ㸪մGF ไᚚ㸦Ƚ୮_ୡ = 0㸪Ⱦ୮_ୡ = 16.7㸧࡛⿵᏶ࡋࡓሙྜࡢ⤖ᯝࢆẚ㍑ࠋ
ᑡࡋࡓ㈇Ⲵ≉ᛶࢆ㸪ճᥦ᱌ไᚚ㸦Ƚ୮_ୡ = 7.0㸪Ⱦ୮_ୡ = 16.7㸧

ᅗ  ᥦ᱌ไᚚࡢ㐺⏝ຠᯝࡢ᳨ド౛㸦᭱㐣㓞ࡢ * ⬺ⴠࢣ࣮ࢫ㸧⾲  㟂せഃ࢖ࣥࣂ࣮ࢱࢆά⏝ࡋࡓㄪᩚຊ☜ಖ࡟࠾ࡅࡿㄢ㢟࡜ᑐᛂ⾲  (9࣭39 ࢆά⏝ࡋࡓㄪᩚຊࡢ≉ᚩ

㡯┠
EV
PV
ㄢ㢟
ලయⓗ࡞ᑐᛂ
ά⏝ྍ⬟࣭᫨㛫ࡢࡳ㸦ฟຊྍ⬟࡞᫬㛫ᖏ࡟㝈࣭᫨ኪ㛫ၥࢃ࡞࠸
ไᚚ࡟ࡼࡿ⣔⤫ ࣭㟂せഃ࢖ࣥࣂ࣮ࢱࡢไᚚ㐜ࢀࡢ▷⦰㸨࡞᫬㛫ᖏࡿࠋฟຊቑຍ࡟ࡣฟຊᢚไࡀᚲせࠋ㸧࡬ࡢᙳ㡪⦆࿴
࣭ྠไᚚ㐜ࢀ➼ࢆ⪃៖ࡋࡓࢤ࢖ࣥㄪᩚ㔞ࡢ ࣭ప࠸㸦඘ᨺ㟁≧ ࣭㧗࠸㸦ኳೃ࣭⣔⤫ไ⣙➼࡟ࡼࡿࠋ࣭༢⊂㐠㌿᳨ฟᛶ⬟࡬ࡢᙳ㡪⦆࿴**࡜ᑐ㇟୙☜ᐇᛶ ἣ࡟ࡼࡿࠋ
㸧ฟຊቑຍ࡟ࡣฟຊᢚไࡀᚲせࠋ㸧༢⊂㐠㌿᳨ฟᶵ⬟᫬㛫㡿ᇦࡢㄪᩚຊ☜ಖࢆ୧❧ࡍࡿ㟂せഃ࣭ฟຊቑຍ᫬ࡢኚ໬⋡ไ㝈㏿ᛂᛶࡢ࣭⌧≧≉࡟࡞ࡋ*࡜ࡢ༠ㄪ࢖ࣥࣂ࣮ࢱࡢࢤ࢖ࣥㄪᩚ࣭ไᚚࣟࢪࢵࢡ
**㸦MPPT ไᚚ࡟㉳ᅉ㸧␃ព஦㡯ࡢᨵⰋᮇᚅࡉࢀ ࣭ᑐ㇟᫬㛫㡿ᇦࡢ* ࡴࡔ᫬㛫ࡀቑຍࡍࡿ࡜㟁ຊືᦂࡢᣑ኱㸦ᣢ⥆᣺ື࣭୙Ᏻᐃ໬㸧୍࣭᫬ⓗ࡞୍ḟㄪᩚຊࡢୖ஌ࡏ
ࡿᙺ๭ㄪᩚຊࡢᗏୖࡆ
➼ࡢᙳ㡪ࡀᠱᛕࡉࢀࡿࠋ
* 1 ᶵ✀ࡢᐇᶵヨ㦂࡛ࡣไᚚ㐜ࢀ 0.1 s ⛬ᗘ࡛ᛂືࡍࡿࡇ࡜ࢆ☜ㄆࠋ** ⮬➃ࡢ㟁ᅽ࣭࿘Ἴᩘ᳨ฟ࡟ᇶ࡙ࡃ᪉ᘧࡢሙྜ࡟ࡣ␃ពࡀᚲせ** 1 ᶵ✀ࡢᐇᶵヨ㦂࡛ࡣ 0.1 p.u./s ⛬ᗘࡢኚ໬⋡ไ㝈ࡀ࠶ࡿࡇ࡜ࢆ☜ㄆࠋ ࡜࡞ࡿ㸦㌿㏦㐽᩿᪉ᘧࡢሙྜࡣᙳ㡪࡞ࡋ㸧ࠋ©CRIEPI55

࿘Ἴᩘኚ᥮ᡤࢆά⏝ࡋࡓ ࣭+] ⣔⤫㛫࡟࠾ࡅࡿ
ᗈᇦ㈇Ⲵ࿘Ἴᩘไᚚࡢᥦ᱌࡜ᐇ⌧࡟ྥࡅࡓຠᯝ᳨ドᚨග ၨኴ㸨ኳ㔝 ༤அ㸨

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©CRIEPI
56

⫼  ᬒࢃࡀᅜ࡛ࡣ㸪㈇Ⲵ࿘Ἴᩘไᚚ㸦/)&㸧࡛⏝࠸ࡽࢀࡿ஧ḟㄪᩚຊձ㸦஧ḟձ㸧࡟ࡘ࠸࡚㸪ᖺᗘࢆ┠㏵࡟ᗈᇦ㐠⏝㸦ᗈᇦ /)&㸧ࡢ㛤ጞࡀணᐃࡉࢀ࡚࠸ࡿ  ࠋࡇࢀࡲ࡛ᙜᡤ࡛ࡣ㸪᪤Ꮡ┤ὶタഛࡢไ⣙࡟ࡼࡾ㸪ྠᮇ⣔⤫ẖ࡟ᗈᇦ /)& ࢆ⾜࠺᪉ྥ࡛ไᚚᡭἲࡢ᳨ウࢆ㐍ࡵ࡚ࡁࡓ  ࠋ୍᪉㸪ᑗ᮶ⓗ࡟ቑタ࣭ࣜࣉ࣮ࣞࢫࡉࢀࡿ┤ὶタഛ࡟ࡘ࠸࡚ࡣ㸪ᗈᇦ /)& ࡟ά⏝࡛ࡁࡿྍ⬟ᛶࡀ࠶ࡿ  ࠋ┠  ⓗ ᖺᗘ࡟ቑᙉணᐃࡢ࿘Ἴᩘኚ᥮ᡤ㸦)&㸧ࢆά⏝ࡋࡓ ࣭+] ⣔⤫㛫ࡢᗈᇦ /)& ᡭἲࢆᥦ᱌ࡋ  㸪ᥦ᱌ᡭἲࡢຠᯝ᳨ドࡸᢏ⾡ⓗ࡞␃ពⅬࡢᩚ⌮ࢆ㸪ࢃࡀᅜࡢᗈᇦ㐃⣔⣔⤫ࣔࢹࣝ  ࢆά⏝ࡋࡓࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡾ⾜࠺ࠋ୺࡞ᡂᯝ )& ࢆά⏝ࡋࡓ ࣭+] ⣔⤫㛫࡟࠾ࡅࡿᗈᇦ /)& ᡭἲࡢᥦ᱌
࣭+] ⣔⤫㛫ࡢᗈᇦ /)& ࡣ㸪)& ࡢ₻ὶࢆ㸪୧⣔⤫㛫࡟࠾ࡅࡿ஧ḟձࡢ⼥㏻㔞㸦⿵ṇ㔞 =㸧ࢆຍ࿡ࡋࡓ┠ᶆ್࡟ไᚚࡍࡿࡇ࡜࡛ᐇ⌧ࡍࡿࠋ)& ࡢ⿵ṇ㔞 = ࡟ࡘ࠸࡚ࡣ㸪ᙜᡤࠋ᪤ᥦ᱌ࡢྠᮇ⣔⤫ẖࡢᗈᇦ /)& ᡭἲ  ࡟ᇶ࡙ࡁ㸪௨ୗࡢ㏻ࡾ⟬ฟࡍࡿ㸦ᅗ 㸧y ࣭+] ⣔⤫඲య࡛ࡢᆅᇦせồ㔞㸦$5㸧ࢆ㸪࢚ࣜ࢔ẖࡢ஧ḟձࡢฟຊኚ໬㏿ᗘࡢẚ⋡࡛ྛ࢚ࣜ࢔࡟㓄ศࡍࡿࠋy ࣭+] ⣔⤫඲య࡛ࡢ᪤ /)& ືస㔞  ࢆ㸪஧ḟձࡢᖹᆒ༢౯ࡀඃ఩࡞࢚ࣜ࢔࠿ࡽ㡰࡟㓄ศࡍࡿࠋࡓࡔࡋ㸪࿘Ἴᩘရ㉁ࡢ⥔ᣢ࣭ྥୖࡢࡓࡵ㸪ྠ㓄ศࡣฟຊኚ໬㏿ᗘ࠾ࡼࡧୖ
グࡢ $5 㓄ศ㔞ࢆ⪃៖ࡋࡓ⠊ᅖ࡛⾜࠺ࠋy +] ⣔⤫࡟࠾ࡅࡿ $5 ࠾ࡼࡧ᪤ /)& ືస㔞ࡢ㓄ศ㔞ࡢྜィ࡜㸪ྠ⣔⤫࡛Ⓨ⏕ࡋ࡚࠸ࡿ$5 ࡜᪤ /)& ືస㔞ࡢྜィࡢᕪศࢆ㸪)& ࡢ⿵ṇ㔞 = ࡜ࡋ࡚⟬ฟࡍࡿ  ࠋࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡿ )& ࢆά⏝ࡋࡓᗈᇦ /)& ࡢຠᯝ᳨ド࣭+] ⣔⤫㛫ࡢᗈᇦ /)& ࡣ㸪ྠᮇ⣔⤫ẖࡢᗈᇦ /)& ࡜ẚ࡭࡚㸪࿘Ἴᩘኚື࡜஧ḟձ
ࡢⓎື㔞ࢆᴫࡡపῶ࡛ࡁࡿࡇ࡜ࢆࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡾ᫂ࡽ࠿࡟ࡋࡓ㸦ᅗ㸧ࠋࡇࡢせᅉ࡜ࡋ࡚㸪࣭+] ⣔⤫㛫࡛㏫᪉ྥ࡟Ⓨ⏕ࡋࡓ $5 ࡸ᪤ /)& ືస㔞ࢆ┦ẅ࡛ࡁࡿࡇ࡜ࡸ㸪୧⣔⤫ࡢᛂ⟅ᛶ࡟ඃࢀࡓ஧ḟձࢆά⏝࡛ࡁࡿࡇ࡜ࡀ⪃࠼ࡽࢀࡿࠋࡲࡓ㸪࿘Ἴᩘኚື࡜஧
ḟձⓎື㔞ࡢపῶຠᯝࢆྥୖࡍࡿࡓࡵ࡟ࡣ㸪ᗈᇦ /)& ᶵ⬟ࡀ⿵ṇ㔞 = ࢆ㏦ಙࡋ࡚࠿ࡽ )&ࡀཷಙࡍࡿࡲ࡛ࡢ㐜ᘏ᫬㛫ࢆᴟຊ▷ࡃࡍࡿࡇ࡜ࡀᮃࡲࡋ࠸ࠋὀ ࠕ஧ḟㄪᩚຊձᗈᇦ㐠⏝ࡢ᳨ウ≧ἣ࡟ࡘ࠸࡚ࠖ㸪➨  ᅇ㟂⤥ㄪᩚᕷሙ᳨ウᑠጤဨ఍㈨ᩱ 㸪 ࠕ஧ḟㄪᩚຊձᗈᇦ㐠⏝ࡢ⌧≧ά⏝᱌ࡢ᳨ウ≧ἣ࡟ࡘ࠸࡚ࠖ㸪➨  ᅇ㟂⤥ㄪᩚᕷሙ᳨ウᑠጤဨ఍㈨ᩱ 㸪 ᚨග㸪ኳ㔝㸸ࠕ࿘Ἴᩘရ㉁ࡢ⥔ᣢ࣭ྥୖ࡜஧ḟㄪᩚຊձࡢ㐠⏝ࢥࢫࢺపῶࢆ୧❧ࡍࡿᗈᇦ/)&ᡭἲࡢᥦ᱌ࠖ
㸪㟁ຊ୰ኸ◊✲ᡤሗ࿌ 5㸪

©CRIEPI
57

 +] ⣔⤫ࡣᮾ໭࣭ᮾி㸪+] ⣔⤫ࡣ୰㒊࣭໭㝣࣭㛵す࣭୰ᅜ࣭ᅄᅜ࣭஑ᕞࢆᑐ㇟࡜ࡋࡓ  ࢚ࣜ࢔㛫ࡢᗈᇦ /)& ࢆᣦࡍ㸦໭ᾏ㐨࢚ࣜ࢔ࡣᗈᇦ /)& ࡢᑐ㇟እ㸧ࠋ ᚨග㸪ኳ㔝㸸ࠕ඲ᅜ  ࢚ࣜ࢔ࡢ㟂⤥࣭࿘Ἴᩘࢩ࣑࣮ࣗࣞࢩࣙࣥࣔࢹࣝࡢ㛤Ⓨࠖ㸪㟁ຊ୰ኸ◊✲ᡤሗ࿌ 5㸪 ᙜヱ᫬Ⅼ࡟࠾ࡅࡿ஧ḟձࡢⓎື㔞㸦N:㸧ࡢࡇ࡜ࠋ +] ⣔⤫ྥࡁࡢ⼥㏻ࡀṇ࡜ࡋ࡚⟬ฟࡉࢀࡿࠋ࡞࠾㸪+] ⣔⤫ࡢྛㅖ㔞࠿ࡽ )& ࡢ⿵ṇ㔞 = ࢆ⟬ฟࡍࡿࡇ࡜ࡶྍ⬟࡛࠶ࡾ㸪ࡑࡢሙྜࡣ +] ⣔⤫ྥࡁࡢ⼥㏻ࡀṇ࡜࡞ࡿ㸦኱ࡁࡉࡣ +] ⣔⤫ࡢྛㅖ㔞ࢆ⏝࠸࡚⟬ฟࡋࡓሙྜ࡜ྠ୍㸧ࠋ㻭㻾䜢ฟຊኚ໬
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©CRIEPI59⫼  ᬒᡃࡀᅜࡢ⣔⤫㐃⣔つ⛬࡛ࡣ㸪஦ᨾ᫬㐠㌿⥅⥆㸦)57㸸)DXOW5LGH7KURXJK㸧せ௳ࡢ୍㒊࡜ࡋ࡚ࢫࢸࢵࣉ≧࠾ࡼࡧࣛࣥࣉ≧ࡢ࿘Ἴᩘኚື⪏㔞ࡀᐃࡵࡽࢀ࡚࠾ࡾ 㸧㸪3&6㸦3RZHU&RQGLWLRQLQJ6XEV\VWHP㸧ࡢ༢⊂㐠㌿᳨ฟᶵ⬟ࡣࡑࢀࡽࡢ⪏㔞ࢆ‶㊊ࡍࡿࡼ࠺࡟タィࡉࢀ࡚࠸ࡿࠋࡇࡢ )57 せ௳ࡣ㸪ᇶᖿ⣔⤫࡟࠾ࡅࡿ୕┦ᆅ⤡஦ᨾ᫬ࡢࢩ࣑࣮ࣗࣞࢩࣙࣥゎᯒ 㸧➼࡟ᇶ࡙ࡁ⟇ᐃࡉࢀࡓࡶࡢ࡛࠶ࡿࠋ୍᪉㸪ᙜ᫬࡜ࡣ෌⏕ྍ⬟࢚ࢿࣝࢠ࣮㸦෌࢚ࢿ㸧ᑟධᣑ
኱ࡢぢ㏻ࡋࡶኚ໬ࡋࡘࡘ࠶ࡿࡓࡵ㸪ᑗ᮶᝿ᐃࢆぢ┤ࡋࡓࢹ࣮ࢱࢆ⏝࠸࡚㸪༢⊂㐠㌿᳨ฟᶵ⬟ࡢ୙せືసࣜࢫࢡࢆᢕᥱࡍࡿᚲせࡀ࠶ࡿࠋ┠  ⓗ< ἲࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡾ㸪ᑗ᮶ⓗ࡞࢖ࣥࣂ࣮ࢱ୺య⣔⤫࡟࠾࠸࡚㸪⌧≧ࡢ )57 せ௳ࢆ‶㊊ࡍࡿ 3&6 ࡢ༢⊂㐠㌿᳨ฟᶵ⬟ࡀ୕┦ᆅ⤡஦ᨾ᫬࡟୙せືసࡍࡿྍ⬟ᛶ࡟ࡘ࠸᳨࡚ウࡍࡿࠋࡲࡓ㸪ᙜᡤࡢ㟁ຊ⣔⤫ࢩ࣑࣮ࣗࣞࢱ࡟࠾࠸࡚ᐇᶵ )57 ᑐᛂ 3&6 ࢆ⏝࠸ࡓ᳨ドヨ㦂ࡶేࡏ࡚ᐇ᪋ࡋ㸪ᑗ᮶ⓗ࡞ࣜࢫࢡపῶ࡟ྥࡅ࡚ᚲせ࡞ྲྀࡾ⤌ࡳࢆᥦゝࡍࡿࠋ୺࡞ᡂᯝ ୕┦ᆅ⤡஦ᨾ᫬ࡢ )57 ᑐᛂ 3&6 ࡢ୙せືస࡟㛵ࡍࡿ < ἲࢩ࣑࣮ࣗࣞࢩࣙࣥ
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ࡑࡢ⤖ᯝ㸪୪ิࡍࡿྠᮇⓎ㟁ᶵࡢῶᑡ࡞࡝࡟ࡼࡗ࡚㟁ᅽపୗࡀ኱ࡁࡃ࡞ࡿ࡯࡝㸪஦ᨾ୰ࡢ࿘Ἴᩘ೫ᕪࡀᣑ኱ࡍࡿࡇ࡜ࢆ᫂ࡽ࠿࡜ࡋࡓ㸦ᅗ 㸧ࠋࡲࡓ㸪)57 せ௳ࡢ࿘Ἴᩘኚື⪏㔞ࢆ‶㊊ࡍࡿࡼ࠺࡟タᐃ 㸧ࡋࡓ  ✀㢮ࡢ < ἲ⏝༢⊂㐠㌿᳨ฟᶵ⬟ࣔࢹࣝࡢືసࢆศᯒࡋࡓ
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᫬㛫>V@&ZdᑐᛂW^ϰŬs͕ϲྎ䠄ྠ୍ᶵ✀䠅ϭϵŬtᅗ  㟁ຊ⣔⤫ࢩ࣑࣮ࣗࣞࢱヨ㦂⣔⤫ᅗᅗ  ୕┦ᆅ⤡஦ᨾ᫬࡟࠾ࡅࡿ )57 ᑐᛂ
3&6 ࡢ⬺ⴠ࡟㛵ࡍࡿヨ㦂⤖ᯝ©CRIEPI61㟁ຊ⣔⤫ࡢࣞࢪ࢚ࣜࣥࢫᙉ໬࡟㈨ࡍࡿ⥭ᛴ᫬ࡢ࿘Ἴᩘไᚚ
࡟㛵ࡍࡿᇶ♏᳨ウ㸦ࡑࡢ 3㸧㸫෌࢚ࢿ⬺ⴠ≉ᛶࢆ⪃៖ࡋࡓ㈇Ⲵ㐽᩿᪉ᘧࡢIEC 61850 ࡟ࡼࡿᐇ⌧᪉ἲ㸫ୖ⏣㻌 ⣖⾜䠆㻝㻌 㻌 ቑ⏣㻌 ᐀⣖䠆㻞㻌 㻌 బ⸨㻌 ຬே䠆㻝

Key Words䠖Power System Resilience
Emergency Frequency Control
Under Frequency Relay
Self-disconnection of RES
IEC 61850䜻䞊䝽䞊䝗䠖㟁ຊ⣔⤫䛾䝺䝆䝸䜶䞁䝇㻌⥭ᛴ᫬࿘Ἴᩘไᚚ㻌࿘Ἴᩘపୗ䝸䝺䞊㻌෌䜶䝛⬺ⴠ㻌
㻵㻱㻯㻌㻢㻝㻤㻡㻜㻌A Basic Study on Emergency Frequency Control for Enhancement of Power System
Resilience (Part 3)- An IEC 61850 based Load Shedding Method considering Self- disconnection
Characteristics of RESs Noriyuki Ueda, Muneki Masuda, Hayato Satoh
Abstract
In Japan, the rate of change of frequency (ROCOF) at the time of loss of large-scale generation following disasters tends
to increase by decreasing system inertia caused by large-scale integration of renewable energy sources (RESs). There is aconcern that the amount of self-disconnection of RESs due to the unnecessary operation of anti-islanding protection relays for
PV inverters in Japan promotes the frequency drop of the power system. Therefore, the authors developed a load shedding
system prototype that adjusts ROCOF relays settings according to the estimated value of the amount of self-disconnection of
RESs and maintains the power system frequency. To put this system into practical use, it is important to implement a remotesetting function by IEC 61850 in the load shedding systems. This report proposes a load shedding system capable of remotesetting by IEC 61850 with MMS protocol. The load shedding devices are constructed by an interchangeable merging unit anda computer. To realize remote setting by IEC 61850, the anti-islanding protection relays compliant with a Japanese Grid Codewere implemented as IEC 61850 Logical Nodes (LN) in the computer. Through the evaluation of the proposed system, it was
confirmed that the proposed system was possible to operate promptly after the RESs were disconnected, and the remote setting
compliant with IEC 61850 was performed appropriately.
*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ୺௵◊✲ဨ*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ◊✲ဨ

©CRIEPI62⫼  ᬒ෌⏕ྍ⬟࢚ࢿࣝࢠ࣮㟁※㸦௨ୗ㸪෌࢚ࢿ㸧ࡢᑟධᣑ኱࡟క࠺⣔⤫័ᛶࡢపୗ࡟ࡼࡾ㟁※⬺ⴠ᫬ࡢ࿘Ἴᩘኚ໬⋡ࡀᣑ኱ࡍࡿࡇ࡜ࡀ᝿ᐃࡉࢀࡿ㸯㸧ࠋࡇࢀ࡟ࡼࡾ㸪༢⊂㐠㌿᳨ฟᶵ⬟ࡢ୙せືస࡟㉳ᅉࡍࡿ෌࢚ࢿ⬺ⴠ㔞ࡀቑຍࡋ㸪࿘Ἴᩘపୗࢆຓ㛗ࡍࡿࡇ࡜ࡀᠱᛕࡉࢀ
ࡿࠋᙜᡤ࡛ࡣ㸪෌࢚ࢿ⬺ⴠ࡟ᛂࡌ࡚㈇Ⲵ㐽᩿ࢆ⾜࠺ࡇ࡜࡛⥭ᛴ᫬ࡢ࿘ἼᩘᏳᐃ໬ࢆᅗࡿ
ไᚚ᪉ᘧ㸦㈇Ⲵ㐽᩿᪉ᘧ㸧ࢆᥦ᱌ࡋ㸪㛤Ⓨࢆ㐍ࡵ࡚࠸ࡿ㸰㸧ࠋࡇࡢ᪉ᘧࢆ㸪IEC 61850 ࡟ᑐᛂࡉࡏࡿࡇ࡜࡛㸪IEC 61850 㐺⏝῭ࡳኚ㟁ᡤ➼࡬ࡢᑟධࡀᐜ᫆࡟࡞ࡿࡇ࡜ࡀᮇᚅࡉࢀࡿࠋ┠  ⓗᥦ᱌ࡍࡿ㈇Ⲵ㐽᩿᪉ᘧࢆ IEC 61850 ࡟ࡼࡾᐇ⌧ࡍࡿ᪉ἲࢆᥦ᱌ࡍࡿࠋࡲࡓྠ᪉ἲ࡟ᇶ࡙
ࡁ㈇Ⲵ㐽᩿⿦⨨ࢆヨసࡋ㸪ࡑࡢᇶᮏⓗ࡞ᛶ⬟ࢆ᫂ࡽ࠿࡟ࡍࡿࠋ

୺࡞ᡂᯝ෌࢚ࢿ⬺ⴠ≉ᛶ࡟ᇶ࡙ࡃ㈇Ⲵ㐽᩿᪉ᘧࡢ ,(& ࡟ࡼࡿᐇ⌧᪉ἲࡢᥦ᱌
᪤ᥦ᱌᪉ᘧ࡟࠾࠸࡚෌࢚ࢿ⬺ⴠ㔞࡜ྠ㔞⛬ᗘࡢ㈇Ⲵ㸦ࣇ࢕࣮ࢲ㸧ࢆ㐽᩿ࡍࡿࡓࡵ࡟ࡣ㸪㈇Ⲵ㐽᩿⿦⨨ࡀᵝࠎ࡞෌࢚ࢿ⬺ⴠ≉ᛶࢆ⪃៖ࡋࡓ」ᩘࡢ RoCoF ࣮ࣜࣞࡢࣟࢪࢵࢡࢆලഛ
ࡋ㸪࠿ࡘ㸪෌࢚ࢿฟຊ࣭㈇Ⲵ➼࡟ᛂࡌࡓࣟࢪࢵࢡ࡜㜈್ࡢኚ᭦ᶵ⬟ࢆ᭷ࡍࡿᚲせࡀ࠶ࡿࠋࡑࡇ࡛㸪RoCoF ࣮ࣜࣞࡢࣟࢪࢵࢡࢆ」ᩘࡢ PFRC㸦࿘Ἴᩘኚ໬⋡࣮ࣜࣞ⏝ࡢㄽ⌮ࣀ࣮ࢻ㸧ࢆ⏝࠸࡚ᐇ⿦ࡋ㸲㸧㸪PFRC 㓄ୗࡢ DO ࡟ࣟࢪࢵࢡ࡜㜈್ኚ᭦⏝ࡢኚᩘࢆ๭ࡾᙜ࡚ࡿ

㸱㸧ࡇ࡜࡛㸪᪤ᥦ᱌᪉ᘧࢆ IEC 61850 ࡟ࡼࡾᐇ⌧ྍ⬟࡜ࡋࡓ㸦ᅗ 1㸧ࠋ
㈇Ⲵ㐽᩿⿦⨨ࡢヨస࡜ᇶᮏⓗ࡞ᛶ⬟ࡢᢕᥱ㻌ୖグࡢ᪉ἲ࡟ᇶ࡙ࡁ㈇Ⲵ㐽᩿⿦⨨ࢆ㸪ኚ㟁ᡤྥࡅࢥࣥࣆ࣮ࣗࢱ࡜ྠ➼ࢫ࣌ࢵࢡࡢ PC ࡜
Merging Unit 〇ရࢆ⏝࠸࡚ヨసࡋ㸪ࣟࢪࢵࢡ࡜㜈್ࡢኚ᭦࡟࠿࠿ࡿ᫬㛫࡜ఏ㏦㔞ࢆ᫂ࡽ࠿࡟ࡋࡓ㸦⾲ 1㸧ࠋࡲࡓ㸪෌࢚ࢿ⬺ⴠᚋ࠿ࡽ㈇Ⲵ㐽᩿⿦⨨ࡀ㐽᩿ჾ࡟᥋Ⅼಙྕࢆฟຊࡍࡿࡲ
ࠋኚ㟁ᡤ➼࡛ࡢ㛗ᮇ✌ാࢆ᝿ᐃࡋࡓሙྜ࡟ࡘ࠸
࡛࡟࠿࠿ࡿ᫬㛫㸳㸧ࢆ᫂ࡽ࠿࡟ࡋࡓ㸦⾲ 2㸧࡚ࡶ㸪ᮏ⤖ᯝ࡜ྠ➼ࡢᛶ⬟ࡀᚓࡽࢀࡿࡇ࡜ࡀᮇᚅࡉࢀࡿࠋὀ 1) 㟁ຊᗈᇦⓗ㐠Ⴀ᥎㐍ᶵ㛵͆ࠕ෌࢚ࢿ୺ຊ㟁※໬ࠖ࡟ྥࡅࡓᢏ⾡ⓗㄢ㢟ཬࡧࡑࡢᑐᛂ⟇ࡢ᳨ウ≧ἣ࡟ࡘ࠸࡚͇, ➨㸳㸵ᅇㄪᩚຊཬࡧ㟂⤥ࣂࣛࣥࢫホ౯➼࡟㛵ࡍࡿጤဨ఍ ㈨ᩱ㸱 (2021)
2) బ⸨㸪ୖ⏣㸪ቑ⏣㸪ኳ㔝㸪ࠕ㟁ຊ⣔⤫ࡢࣞࢪ࢚ࣜࣥࢫᙉ໬࡟㈨ࡍࡿ⥭ᛴ᫬ࡢ࿘Ἴᩘไᚚ࡟㛵ࡍࡿᇶ♏᳨ウ㸦ࡑࡢ 2㸧㸫෌࢚ࢿ⬺ⴠ≉ᛶࢆ⪃៖ࡋࡓศᩓไᚚ᪉ᘧࡢᐇ㦂ⓗ᳨ド㸫ࠖ㸪㟁ຊ୰ኸ◊✲ᡤ ◊✲ሗ࿌ R20006㸦2021㸧ࠋᮏ᪉ᘧ࡛ࡣ㸪᝿ᐃࡉࢀࡿ෌࢚ࢿ⬺ⴠ㔞࡜ྠ㔞⛬ᗘࡢ㈇Ⲵࡀ㐽᩿ࡉࢀࡿࡼ࠺࡟㸪㈇Ⲵഃࡢ࿘Ἴᩘኚ໬⋡㸦RoCoF㸧࣮ࣜࣞࡢࣟ
ࢪࢵࢡ࡟࠾࠸࡚෌࢚ࢿࡢ⬺ⴠ≉ᛶ㸦༢⊂㐠㌿᳨ฟᶵ⬟ࡢ㞟ྜయ࡜ࡋ࡚ࡢ≉ᛶ㸧ࢆ⪃៖ࡍࡿࠋࡲࡓ㸪ኚ㟁ᡤᵓෆ࡛ᚓࡽࢀࡿ᝟ሗ࡟ᇶ࡙ࡁ㸪ࡑࡢ᫬Ⅼࡢ෌࢚ࢿฟຊ࣭㈇Ⲵ➼࡟ᛂࡌ࡚ᩚᐃࢆኚ᭦ࡍࡿࠋ

©CRIEPI633) ㄽ⌮ࣀ࣮ࢻ㸦LN㸧ࡣᶵ⬟ࡸ୺ᅇ㊰ᶵჾࢆ࢜ࣈࢪ࢙ࢡࢺᣦྥ࡟ࡼࡾࣔࢹࣝ໬ࡋࡓࡶࡢࠋLN ࡟⣣࡙ࡃฎ⌮ࡣ୍㒊ࢆ㝖ࡁつ᱁ࡢᑐ㇟እ࡛࠶ࡿࠋྛᶵჾࡸᶵ⬟ࡢ≧ែ㸪ィ ್㸪ᩚᐃ್➼ࡢኚᩘࢆ㸪࠶ࡽ࠿ࡌࡵ⏝ពࡉࢀࡓ LN 㓄ୗࡢࢹ࣮ࢱ࢜ࣈࢪ࢙ࢡࢺ㸦DO㸧࡟ཝᐦ࡟๭ࡾᙜ࡚ࡿࡇ࡜ࡀせồࡉࢀ㸪 DO ࡢ್ࡢࡳ IEC 61850 ࡢ㏻ಙ࡟ࡼࡾㄞ᭩ࡁࡸఏ㏦ࡀྍ⬟࡛࠶ࡿࠋ
4) ෌࢚ࢿ⬺ⴠ≉ᛶࢆ⾲⌧ࡍࡿྛ✀༢⊂㐠㌿᳨ฟ᪉ᘧࡣ㸪࠶ࡿ᫬㛫❆㛗࡟࠾ࡅࡿ఩┦ࡲࡓࡣ࿘ᮇ㸦࿘Ἴᩘࡢ㏫ᩘ㸧ኚ໬㔞ࡢ㜈್₇⟬ࢆ⾜ࡗ࡚࠾ࡾ㸪ࡇࢀࡽࡣ࿘Ἴᩘኚ໬⋡ࡢ㜈್₇⟬ࡢᙧ࡟ᘧኚᙧྍ⬟࡛࠶ࡿࡓࡵ㸪࿘Ἴᩘኚ໬⋡ࡢ㜈್₇⟬ࢆ⾜࠺ PFRC࡟๭ᙜ࡚ྍ⬟࡛࠶ࡿࠋࡲࡓ㸪PFRCࡣ୍ࡘࡢ㜈್₇⟬ࡢࡳ⾲⌧ྍ⬟࡞ࡓࡵ㸪」ᩘ✀ࡢ㜈್₇⟬࡟ࡼࡾ⾲⌧ࡉࢀࡿ෌࢚ࢿ⬺ⴠ≉ᛶࡣ㸪」ᩘಶࡢ PFRC ࡟ࡼࡾ⾲⌧ࡍࡿࠋ5) ᖹᆒࡢไᚚ㐜ࢀࡀ⌮ㄽᛶ⬟࡜ྠ➼㸦Sampled Values ࡢࡓࡵࡢ MU ෆ㒊ฎ⌮ࡢせồᛶ⬟: 2 ms㸪Sampled Values ࡜
GOOSE ࡢせồᛶ⬟: ྛ 3ms㸪MU 〇ရࡢࢹࢪࢱࣝฟຊࡢฎ⌮㐜ᘏ: 13 ms ࡢྜィ್: 21 ms㸧㓄㟁⏝ኚ㟁ᡤ஧ḟኚ㟁ᡤᵓෆ㈇Ⲵ㐽᩿₇⟬⏝⿦⨨㈇Ⲵ㐽᩿ࣟࢪࢵࢡࡢ₇⟬㒊Merging Unit

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᭷ຠ໬䛧䛶฼⏝෌䜶䝛C䛾⬺ⴠ≉ᛶ
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RoCoF䝸䝺䞊䛾䝻䝆䝑䜽⥅⥆᫬㛫 >V@㈇Ⲵ㐽ุ᩿ᐃ

⥅⥆᫬㛫 >V@㈇Ⲵ㐽᩿⿦⨨䠄䝣䜱䞊䝎a⏝䠅⥅⥆᫬㛫 >V@…

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ĺ㈇Ⲵ㐽᩿䛻⏝䛔䜛⬺ⴠ≉ᛶ䛾ኚ᭦
䞉PTRC䛾䝖䝸䝑䝥ಙྕ㏦ಙ᭷ຠ໬/↓ຠ໬ĺไᚚᑐ㇟䛾㐽᩿ჾ䛾ኚ᭦

A䡚C䛾⬺ⴠ≉ᛶ䛿෌෌䜶䝛༢య䜎䛯䛿㞟ྜయ䛸䛧䛶䛾༢⊂㐠㌿᳨ฟᶵ⬟䛾≉ᛶ䛻䜘䜚⾲⌧ไᚚᩚᐃㄪᩚ⿦⨨IEC 61850 MMS/R-SV/R-GOOSE(ྛ䝣䜱䞊䝎䛾⣔⤫᝟ሗ)ᅗ  ෌࢚ࢿ⬺ⴠ≉ᛶ࡟ᇶ࡙ࡃ㈇Ⲵ㐽᩿᪉ᘧࡢ ,(& ࡟ࡼࡿᐇ⌧᪉ἲ⾲  ࣟࢪࢵࢡ࡜㜈್ࡢኚ᭦࡟࠿࠿ࡿ᫬㛫࡜ఏ㏦㔞 ྛ  ᅇヨ⾜ 
ᐃෆᐜ

㏻ಙ
᪉ྥ*
ୗࡾ

ఏ㏦㔞
[bits]
1320

ᡤせ᫬㛫 [ms]ᖹᆒ᭱ᑠ᭱኱㈇Ⲵ㐽᩿ࡢࣟࢪࢵࢡኚ᭦
104.72 100.69 110.82
ไᚚᩚᐃㄪᩚ⿦⨨ࡀ୍ࡘࡢ PFRC ࡢ᳨ฟ᭷ຠ໬/↓ຠ໬࡟せࡍࡿୖࡾ
1920
ᡤせ᫬㛫࡜ఏ㏦㔞㸦ኚ᭦ᚋࡢ್ࡢ㏉⟅ࢆྵࡴ㸧
ୗࡾ
1144
㜈್ࡢኚ᭦
ไᚚᩚᐃㄪᩚ⿦⨨ࡀ୍ࡘࡢ PFRC ࡢືస㜈್ࡢኚ᭦࡟せࡍࡿᡤ
0.24
0.19
0.32
ୖࡾ
664
せ᫬㛫࡜ఏ㏦㔞㸦ኚ᭦ᚋࡢ್ࡢ㏉⟅ࢆྵࡲ࡞࠸㸧ୗࡾ㸸ไᚚᩚᐃㄪᩚ⿦⨨࠿ࡽ㈇Ⲵ㐽᩿⿦⨨࡬ࡢ᪉ྥ㸪ୖࡾ㸸㈇Ⲵ㐽᩿⿦⨨࠿ࡽไᚚᩚᐃㄪᩚ⿦⨨࡬ࡢ᪉ྥ⾲  ㈇Ⲵ㐽᩿ᶵ⬟ࡢᛶ⬟ ྛ  ᅇヨ⾜ ࿘Ἴᩘኚ໬⋡ ෌࢚ࢿ⬺ⴠࡢࢱ࢖࣑ࣥࢢ** ᖹᆒ್ ᭱ᑠ್ ᭱኱್ ᖹᆒ / ᭱኱ࡢไᚚ㐜ࢀ***[Hz/sec]
[ms]
[ms]
[ms]
[ms]
[ms]
1.5
320.0
340.5
331.3
349.6
20.5 / 29.5
2.0
240.0
263.4
254.2
275.2
23.4 / 35.2
3.0
200.0
213.0
202.2
223.5
13.0 / 23.5
ᅗ  ࡟♧ࡋࡓ 5R&R) ࣮ࣜࣞࡢࣟࢪࢵࢡࡀ⪃៖ࡍࡿ෌࢚ࢿ༢యࡲࡓࡣ㞟ྜయ࡜ࡋ࡚ࡢ⬺ⴠ≉ᛶࡢ࠺ࡕ㸪᭱ࡶ㧗ឤᗘ࡜࡞ࡗ࡚࠸ࡿ෌࢚ࢿ % ࡀ⬺ⴠࡍࡿࢱ࢖࣑ࣥࢢࢆィ⟬࡟ࡼࡾồࡵࡓ⤖ᯝ࡛࠶ࡿࠋ
ᖹᆒࡢไᚚ㐜ࢀ ᖹᆒ್෌࢚ࢿ⬺ⴠࡢࢱ࢖࣑ࣥࢢ㸪᭱኱ࡢไᚚ㐜ࢀ ᭱኱್෌࢚ࢿ⬺ⴠࡢࢱ࢖࣑ࣥࢢ

©CRIEPI64㟁※⬺ⴠ᫬࡟࠾ࡅࡿᆅⅬẖࡢ࿘Ἴᩘኚ໬⋡ࡢ㧗㏿ᴫ⟬ἲ఍⏣ ᓧ௓㸨ኳ㔝 ༤அ㸨

Key Words㸸Rate of Change of Frequency
Inertia
Renewable Energy
Power System
Short Circuit Current Calculation࣮࣮࢟࣡ࢻ㸸࿘Ἴᩘኚ໬⋡័ᛶ෌⏕ྍ⬟࢚ࢿࣝࢠ࣮
㟁ຊ⣔⤫▷⤡ᐜ㔞ィ⟬

A simple method of computing the rate of change of frequency
at each node in loss of generation
Shunsuke Aida and Hiroyuki Amano

Abstract
In Japan, the installation of inverter-based resources (IBR), such as solar and wind power, is expected to increase. As thenumber of synchronous machines decreases and the inertia decreases, the rate of change of frequency (RoCoF) becomes larger
during the loss of large-scale generation. If the RoCoF becomes too large, the IBR will be disconnected from the grid, causing
an even larger decrease in frequency. To analyze this, the RoCoF needs to be determined for each node of the interconnectionof the IBR, and the simulation is performed using a transient stability analysis program. However, it takes a lot of time toperform the analysis under various conditions. Therefore, we propose a simple method to compute the RoCoF at each node.
The method first calculates RoCoFg for the rotor speed by using the fact that the increase in output of each generator during
generator loss is proportional to the fault current of each generator during the short circuit fault. The RoCoFn of each node iscalculated by adding the RoCoFg of each generator weighted by the reciprocal of the electrical distance between each nodeand each generator.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ୺௵◊✲ဨ*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ๪◊✲ཧ஦

©CRIEPI65⫼  ᬒ௒ᚋ㸪࢖ࣥࣂ࣮ࢱ㐃⣔㟁※ࡢ᭦࡞ࡿᑟධᣑ኱ࡀぢ㎸ࡲࢀ࡚࠾ࡾ㸪⣔⤫࡟୪ิࡉࢀࡿྠ
ᮇᶵࡀῶᑡࡋ࡚⣔⤫ࡢ័ᛶࡀῶᑡࡋ㸪㟁※⬺ⴠ᫬ࡢ࿘Ἴᩘኚ໬⋡㸦RoCoF㸧ࡢቑ኱ࡀᠱ
ᛕࡉࢀ࡚࠸ࡿࠋRoCoF ࡀ㐣኱࡜࡞ࡿ࡜࢖ࣥࣂ࣮ࢱ㐃⣔㟁※ࡀゎิࡋ㸪࿘Ἴᩘࡀ᭦࡟኱ࡁ
ࡃపୗࡍࡿᜍࢀࡀ࠶ࡿࠋ࢖ࣥࣂ࣮ࢱ㐃⣔㟁※ᑟධᣑ኱᫬ࡢ࿘ἼᩘᏳᐃᛶゎᯒ࡟ࡣ㐃⣔Ⅼẖࡢ RoCoF ࢆồࡵࡿᚲせࡀ࠶ࡾ㸪㐣ΏᏳᐃᗘࢩ࣑࣮ࣗࣞࢩࣙࣥ㸦ᙜᡤ Y ἲ➼㸧࡛ồࡵࡿࡇ࡜ࡶ࡛ࡁࡿࡀ 1)㸪ᐇ㝿ࡢᵝࠎ࡞⣔⤫᩿㠃ࡢ᳨ウ࡟ࡣከ኱࡞ィ⟬ປຊࢆせࡍࡿࡓࡵ㸪ᆅⅬẖࡢ RoCoF ࡢຠ⋡ⓗ࡞⟬ฟࡀㄢ㢟࡜࡞ࡗ࡚࠸ࡿࠋ┠  ⓗ㟁※⬺ⴠ᫬࡟࠾ࡅࡿᆅⅬẖࡢ RoCoF ࡢ㧗㏿ᴫ⟬ἲࢆ㛤Ⓨࡋ㸪ጇᙜᛶࢆ᳨ドࡍࡿࠋ୺࡞ᡂᯝ 5R&R) ࡢ㧗㏿ᴫ⟬ἲࡢ㛤Ⓨ㧗㏿࡟▷⤡㟁ὶࢆ⟬ฟྍ⬟࡞▷⤡ᐜ㔞ィ⟬ࣉࣟࢢ࣒ࣛ㸦ᙜᡤ T ἲ㸧ࢆᣑᙇࡋ㸪㟁※⬺ⴠ┤ᚋ࡟࠾ࡅࡿ㸪ྛⓎ㟁ᶵࡢᅇ㌿㏿ᗘࡢኚ໬⋡ RoCoFG ࠾ࡼࡧྛࣀ࣮ࢻࡢ㟁Ẽⓗ࡞࿘Ἴᩘࠋࡢኚ໬⋡ RoCoFN ࢆ㸪௨ୗࡢᡭ㡰࡛⡆᫆ⓗ࡟ィ⟬ࡍࡿᡭἲࢆ㛤Ⓨࡋࡓ㸦ᅗ 1㸧
ձ 㟁※⬺ⴠᆅⅬ࡛୕┦▷⤡ࡀ⏕ࡌࡓ㝿࡟ྛⓎ㟁ᶵࡀ౪⤥ࡍࡿ▷⤡㟁ὶࢆ⟬ฟࠋղ ⟬ฟࡋࡓ▷⤡㟁ὶࡢẚࢆ⏝࠸࡚㟁※⬺ⴠ┤ᚋࡢྛⓎ㟁ᶵࡢฟຊቑຍศǼPi ࢆ⟬ฟࠋ
ճ Ⓨ㟁ᶵࡢ㐠ື᪉⛬ᘧ࡟ǼPi ࢆ௦ධࡋ࡚ྛⓎ㟁ᶵࡢ RoCoFG ࢆ⟬ฟࠋմ ྛࣀ࣮ࢻࡢ RoCoFN ࡣ㸪ྛࣀ࣮ࢻ࡜ྛⓎ㟁ᶵࡢ㟁Ẽⓗ㊥㞳ࡢ㏫ᩘ࡛㔜ࡳ௜ࡅࡋࡓྛⓎ㟁ᶵࡢ RoCoFG ࢆຍ⟬ࡍࡿࡇ࡜࡟ࡼࡾ⟬ฟ 2)ࠋ
ᮏᡭἲࡣ㟁ᅽࡢኚ໬࡟ࡼࡿ㈇Ⲵࡢኚ໬➼ࢆ↓どࡋ࡚⡆᫆ⓗ࡟ RoCoF ࢆィ⟬ࡍࡿࡶࡢ࡛
࠶ࡿࡀ㸪Y ἲ࡜ẚ㍑ࡋ࡚ィ⟬ປຊࡀᑠࡉࡃ 3)㸪ᵝࠎ࡞⣔⤫᩿㠃࡟࠾ࡅࡿ RoCoF ࢆຠ⋡Ⰻࡃホ౯࡛ࡁࡿࠋࡲࡓ㸪ᐇ㝿࡟ࡣ㟁※⬺ⴠ┤ᚋ࡟ࡣ㟁ᅽࡀపୗࡋ㈇Ⲵࡀῶᑡࡍࡿࡇ࡜ࡀከ
࠸ࡓࡵ㸪ᮏᡭἲࡣᝒほࢧ࢖ࢻ 4)ࡢ⤖ᯝࡀᚓࡽࢀࡿഴྥ࡜⪃࠼ࡽࢀࡿ 5)ࠋ
 5R&R) ࡢ㧗㏿ᴫ⟬ἲࡢጇᙜᛶ᳨ド㟁ẼᏛ఍ WEST30 ᶵ⣔⤫㍍㈇Ⲵࣔࢹࣝ࡟࠾࠸࡚㟁※⬺ⴠ᫬ࡢ Y ἲࢩ࣑࣮ࣗࣞࢩࣙࣥ⤖ᯝ࡜㧗㏿ᴫ⟬ἲࡢ⤖ᯝࢆẚ㍑ࡋࡓࠋࡑࡢ⤖ᯝ㸪୧⪅ࡢ⤖ᯝࡣᴫࡡ୍⮴ࡋ㸪㧗㏿ᴫ⟬ἲࡢ⤖ᯝࡣ Y ἲ⤖ᯝ࡟ᑐࡋ࡚ᝒほࢧ࢖ࢻ࡜࡞ࡿഴྥࢆ☜ㄆࡋࡓ㸦ᅗ 2㸪ᅗ 3㸧ࠋ࿘ἼᩘᏳᐃᛶ
ࡀၥ㢟࡜࡞ࡿ⣔⤫᩿㠃ࡢࢫࢡ࣮ࣜࢽࣥࢢ➼࡬ࡢά⏝ࡀᮇᚅ࡛ࡁࡿࠋ
ὀ 1㸧㟁ຊᗈᇦⓗ㐠Ⴀ᥎㐍ᶵ㛵. ࠕ෌࢚ࢿ୺ຊ㟁※໬ࠖ࡟ྥࡅࡓᢏ⾡ⓗㄢ㢟ཬࡧࡑࡢᑐᛂ⟇ࡢ᳨ウ࡟ࡘ࠸࡚. ㄪᩚຊཬࡧ㟂⤥ࣂࣛࣥࢫホ౯➼࡟㛵ࡍࡿጤဨ఍ ㈨ᩱ 3. 2020.10.27
2㸧ࣀ࣮ࢻ࿘Ἴᩘࡣ㟁Ẽⓗ࡟㏆࠸Ⓨ㟁ᶵࡢᅇ㌿㏿ᗘࡢᙳ㡪ࢆᙉࡃཷࡅࡿ࡜⪃࠼ࡓࡶࡢࠋࡲࡓ㸪ṇ☜࡟ࡣ RoCoFN ࡣⓎ㟁ᶵࡢᅇ㌿㏿ᗘ࡜㟁Ẽⓗ࡞࿘Ἴᩘࡢᕪ␗㸦Ⓨ㟁ᶵෆ㒊ࣜ࢔ࢡࢱࣥࢫࡢ᫬㛫ⓗኚ໬ࡢᙳ㡪㸧ࡶ⪃៖ࡋ࡚⟬ฟࡋ࡚࠸ࡿࠋ

©CRIEPI66

3) WEST30 ᶵ⣔⤫㍍㈇Ⲵࣔࢹࣝ࡟࠾ࡅࡿ༢ᶵ⬺ⴠ඲ 30 ࢣ࣮ࢫࡢ RoCoFG ࡜ RoCoFN ࢆ㧗㏿ᴫ⟬ἲ࡛⟬ฟ࡟せࡍࡿ᫬㛫ࡀ
0.1 ⛊⛬ᗘࠋ4) ࢖ࣥࣂ࣮ࢱ㐃⣔㟁※ࡢゎิࡢྍ⬟ᛶࡀ᳨ウᑐ㇟࡛࠶ࡾ㸪RoCoF ࡀ኱ࡁ࠸ሙྜࢆᝒほࢧ࢖ࢻ࡜⪃࠼ࡿࠋ
5㸧㟁※⬺ⴠ࡟క࠸㟁ᅽࡀୖ᪼ࡍࡿࢣ࣮ࢫ࡛ࡣ㸪ᮏᡭἲࡢ⤖ᯝࡣᴦほࢧ࢖ࢻ࡜࡞ࡿࡓࡵὀពࡀᚲせ࡛࠶ࡿࠋᅗ 5R&R) 㧗㏿ᴫ⟬ἲࡢᴫᛕᅗ

*1 Y ἲ SG@0.1s࡜ Y ἲ SS@0.1sࡣࡑࢀࡒࢀ㸪⬺ⴠ࠿ࡽ 0.1⛊㛫ࡢⓎ㟁ᶵࡢᅇ㌿㏿ᗘ㸦㟁Ẽゅ㏿ᗘ᥮⟬㸧࠾ࡼࡧࣀ࣮ࢻ
࿘Ἴᩘࡢ Y ἲࢩ࣑࣮ࣗࣞࢩࣙࣥ⤖ᯝ࠿ࡽ⟬ฟࠋ
*2 Y ἲࢩ࣑࣮ࣗࣞࢩࣙࣥ࡜㧗㏿ᴫ⟬ἲ࡛ഴྥࡀᴫࡡ୍⮴ࡋ㸪㧗㏿ᴫ⟬ἲࡢ⤖ᯝࡣᝒほࢧ࢖ࢻ࡜࡞ࡗ࡚࠸ࡿࠋᅗ * ࡜ * ⬺ⴠ᫬ࡢྛᆅⅬࡢ 5R&R)* ࡜ 5R&R)1 ࡟㛵ࡍࡿ㧗㏿ᴫ⟬ἲ࡜ < ἲࢩ࣑࣮ࣗࣞࢩࣙࣥ⤖ᯝ࡜ࡢẚ㍑*1 ㈇Ⲵኚ໬㔞ࡣ Y ἲࢩ࣑࣮ࣗࣞࢩࣙࣥ⤖ᯝ࡟࠾ࡅࡿ㟁※⬺ⴠ࠿ࡽ 0.1 ⛊᫬Ⅼࡢ඲య㈇Ⲵ࡟ᑐࡍࡿ㈇Ⲵኚ໬㔞ࢆ♧ࡍࠋ
*2 ㈇Ⲵኚ໬㔞ࡀ኱ࡁ࠸ࢣ࣮ࢫ࡛ࡣ㸪୧⪅ࡢᕪ␗ࡣ኱ࡁࡃ࡞ࡿഴྥ࡜࡞ࡗ࡚࠸ࡿ㸦㈇Ⲵኚ໬㔞ࡀ኱ࡁ࠸ࢣ࣮ࢫ࡛ࡣ㟁ᅽࡀ኱ࡁࡃኚ໬ࡋ࡚࠸ࡿ㸧ࠋ࡞࠾㸪ᮏࣔࢹࣝ⣔⤫࡛ࡣ㟁※࣭㈇Ⲵࡀ㞟୰ᶍᨃࡉࢀ࡚࠾ࡾ㸪㟁※⬺ⴠ᫬ࡢ㈇Ⲵኚ໬㔞ࡣᐇ⣔⤫ࡼࡾࡶ኱ࡁ࠸࡜⪃࠼ࡽࢀࡿࠋ
*3 G1 ⬺ⴠࢣ࣮ࢫࡣ㸪Y ἲࢩ࣑࣮ࣗࣞࢩࣙࣥ࡟࡚⬺ⴠ┤ᚋ࠿ࡽ㟁ຊືᦂࡀ኱ࡁࡃ㸪ྠᮇᏳᐃᗘ㠃࡛ၥ㢟ࡀ⏕ࡌ࡚࠸ࡿࡓࡵ㸪ᮏᅗ࠿ࡽࡣ┬࠸࡚࠸ࡿࠋᅗ ༢ᶵ⬺ⴠ᫬ࡢྛᆅⅬࡢ 5R&R)1 ࡢ᭱኱್࡟㛵ࡍࡿ㧗㏿ᴫ⟬ἲ࡜ < ἲࢩ࣑࣮ࣗࣞࢩࣙࣥ⤖ᯝࡢẚ㍑©CRIEPI67

EV ᑟධ࣭ά⏝᫬࡟࠾ࡅࡿ⣔⤫㈇Ⲵࡢࣔࢹࣜࣥࢢ࡟ྥࡅࡓ
EV ⏝඘㟁ჾࡢ≉ᛶᢕᥱቑ⏣ ᐀⣖㸨బ⸨ ຬே㸨

Key Words㸸Load characteristic
Power system analysis
Electric vehicle
Root mean square analysis model
Laboratory test࣮࣮࢟࣡ࢻ㸸㈇Ⲵ≉ᛶ
⣔⤫ゎᯒ
㟁Ẽ⮬ື㌴
ᐇຠ್ゎᯒ⏝ࣔࢹࣝᐇᶵヨ㦂

Experimental Investigation of EV Chargers Characteristics
for Modeling of Aggregate Load with Large-Scale EVs

Muneki Masuda, Hayato Satoh

Abstract
In Japan, the electrification of vehicles in the transportation sector is being promoted as one of the measures that willcontribute to realizing the decarbonization and ensuring the resilience of power system following disaster. In particular, thelarge-scale integration of Electric vehicles (EVs) are expected. However, large-scale integration of EVs will change thecomposition and characteristics of load equipment. There is a concern that this may increase the impact on the operation andcontrol of the power system. To analyze this impact in advance, it will be necessary to develop a load model considering EV’s
characteristics.
Therefore, the authors conducted laboratory tests using CRIEPI’s power system simulator to investigate the characteristicsof the response to voltage and frequency fluctuations for two types of charging types, slow charging and fast charging, forcommercial products of one representative manufacturer. The results of the tests were used to develop the EVs model
considering charging types. This report provided the following key findings obtained from the tests.
࣭The characteristics of the response of each charging types and its effect on the aggregate load
࣭Models for root mean square analysis to simulate the response of slow charging and fast charging*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ◊✲ဨ
*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ୺௵◊✲ဨ68⫼  ᬒࢃࡀᅜ࡛ࡣ㸪⬺Ⅳ⣲໬ࡸ⅏ᐖ᫬ࡢࣞࢪ࢚ࣜࣥࢫ☜ಖ࡟㈨ࡍࡿᑐ⟇ࡢ୍ࡘ࡜ࡋ࡚㐠㍺㒊㛛࡛ࡢ㌴୧㟁ື໬ࡀ᥎㐍ࡉࢀ࡚࠾ࡾ㸪≉࡟㟁Ẽ⮬ື㌴㸦௨ୗ㸪EV㸧ࡢᑟධ࣭ά⏝ࡀᮇᚅࡉࢀ࡚࠸ࡿ 1)ࠋࡋ࠿ࡋ࡞ࡀࡽ㸪EV ࡢᑟධᣑ኱ࡀ㐍ࡳ㸪⣔⤫㈇Ⲵࡢ㟁ᅽࡸ࿘Ἴᩘ࡟ᑐࡍࡿ
≉ᛶࡀኚ໬ࡋ࡚ࡃࡿ࡜ 2㸧㸪㟁ຊ⣔⤫ࡢ㐠⏝࣭ไᚚ࡬ࡢᙳ㡪ᣑ኱ࡀᠱᛕࡉࢀࡿࠋࡇࡢᙳ㡪ࢆ஦๓࡟ゎᯒࡍࡿࡓࡵ࡟ࡣ㸪EV ⏝඘㟁ჾࡢ≉ᛶࢆᢕᥱࡋ㸪⣔⤫㈇Ⲵࡢ≉ᛶኚ໬࡬ࡢᙳ㡪ࢆศᯒࡍࡿࡇ࡜ࡀᚲせ࡜࡞ࡿࠋ┠  ⓗᕷ㈍ࡢ EV⏝඘㟁ჾࡢ㟁ᅽ࣭࿘Ἴᩘ≉ᛶࢆヨ㦂࡟ࡼࡾᢕᥱࡋ㸪ྠ≉ᛶࡀ⣔⤫㈇Ⲵࡢ≉ᛶ࡟୚࠼ࡿᙳ㡪ࢆศᯒࡍࡿࠋࡲࡓ㸪ヨ㦂⤖ᯝ࡟ᇶ࡙ࡁ㟁ᅽ࣭࿘Ἴᩘኚື᫬ࡢᛂືࢆᶍᨃ࡛
ࡁࡿ EV ⏝඘㟁ჾࡢᐇຠ್ゎᯒ⏝ࣔࢹࣝࢆ㛤Ⓨࡍࡿࠋ୺࡞ᡂᯝ (9 ⏝඘㟁ჾࡢ≉ᛶᢕᥱ࡜⣔⤫㈇Ⲵࡢ≉ᛶ࡟୚࠼ࡿᙳ㡪ࡢศᯒEV ࡢ඘㟁᪉ᘧࡣ㸪ᬑ㏻඘㟁ࡲࡓࡣᛴ㏿඘㟁ࡢ 2 ✀㢮࡟ศ㢮ࡉࢀࡿ㸦ᅗ 1㸧ࠋࡑࡇ࡛㸪ྛ
᪉ᘧࡢ௦⾲ 1 ᶵ✀ 3)ࢆᑐ㇟࡟㸪㟁ᅽ࣭࿘Ἴᩘኚື࡟ᑐࡍࡿ඘ᨺ㟁㟁ຊࡢᛂືࢆᢕᥱࡋ 4)㸪
ྛ᪉ᘧࡢ≉ᛶࢆศᯒ࣭ᩚ⌮ࡋࡓ㸦⾲ 1㸪ᅗ 2㸧ࠋ୺࡞≉ᚩࡣ㸪௨ୗࡢ࡜࠾ࡾ࡛࠶ࡿࠋ
࣭㟁ᅽኚື᫬ࡢ඘㟁㟁ຊࡣ㸪ᬑ㏻඘㟁ࡢሙྜ㸪㌴㍕ PCS ࡢ᭷ຠ㟁ຊ୍ᐃไᚚ࡟ࡼࡾ㟁ᅽኚື┤ᚋࡣᐃ᱁㟁ຊ್ 5)࡟ಖࡓࢀࡿࡀ㸪ࡑࡢᚋ㸪ࢥࣥࢺ࣮ࣟࣝ࣎ࢵࢡࢫࡢ㟁ὶ୍ᐃไᚚ
࡟ࡼࡾ㟁ᅽ࡟ᛂࡌࡓ್࡟ⴠࡕ╔ࡃ㸦ᐃ㟁ὶ≉ᛶࢆ♧ࡍ㸧ࠋ୍᪉㸪ᛴ㏿඘㟁ࡢሙྜࡣ㸪EV ⏝ PCS ࡢ᭷ຠ㟁ຊ୍ᐃไᚚ࡟ࡼࡾᐃ᱁㟁ຊ್࡟ಖࡓࢀࡿ㸦ᐃ㟁ຊ≉ᛶࢆ♧ࡍ㸧ࠋ࣭࿘Ἴᩘኚື᫬㸦ᛴᓧ࡞ኚືࢆ㝖ࡃ㸧ࡣ㸪ᬑ㏻඘㟁᫬ࡢ඘㟁㟁ຊ㸪ᛴ㏿඘㟁᫬ࡢ඘ᨺ㟁㟁ຊ࠸ࡎࢀࡶᐃ᱁㟁ຊ್࡟ಖࡓࢀࡿ㸦࿘Ἴᩘ≉ᛶࡣ࡞ࡋ㸧ࠋ⣔⤫㈇Ⲵࡢ≉ᛶ 6)ࢆ⾲ࡍ㟁ᅽ≉ᛶᣦᩘ࠾ࡼࡧ࿘Ἴᩘ≉ᛶಀᩘࡣ㸪㏆ᖺࡢ㈇Ⲵᶵჾࡢ࢖ࣥ
ࣂ࣮ࢱ໬࡟ࡼࡾῶᑡഴྥ 7)࡟࠶ࡿࠋୖグヨ㦂⤖ᯝࢆ㋃ࡲ࠼ࡿ࡜㸪EV ࡢᑟධᣑ኱ࡀᑗ᮶ࡢ⣔⤫㈇Ⲵࡢ≉ᛶ࡟୚࠼ࡿᙳ㡪ࡣྛ᪉ᘧ࡟ࡼࡗ࡚␗࡞ࡾ㸪ᬑ㏻඘㟁ࡢሙྜࡣ㟁ᅽ≉ᛶᣦᩘࡢῶᑡഴྥࢆ⦆࿴ࡋ㸪࿘Ἴᩘ≉ᛶಀᩘࡢῶᑡഴྥࢆ㐍⾜ࡉࡏࡿࠋ୍᪉㸪ᛴ㏿඘㟁ࡢሙྜࡣ㟁ᅽ≉ᛶᣦᩘ࡜࿘Ἴᩘ≉ᛶಀᩘࡢ୧⪅ࡢῶᑡഴྥࢆ㐍⾜ࡉࡏࡿ࡜⪃࠼ࡽࢀࡿ㸦⾲ 2㸧ࠋ 㟁ᅽ࣭࿘Ἴᩘኚື᫬ࡢᛂືࢆᶍᨃ࡛ࡁࡿ (9 ⏝඘㟁ჾࣔࢹࣝࡢ㛤Ⓨ
๓㏙ࡋࡓྛ඘㟁᪉ᘧࡢ≉ᚩⓗ࡞ᛂືࡣ㸪⾲ 3 ࡟♧ࡍࣔࢹࣝせ⣲࡟ࡼࡾᶍᨃࡍࡿࡇ࡜ࡀ
࡛ࡁ㸪㛤Ⓨࣔࢹࣝࡀᐇᶵࡢᛂືࢆᴫࡡ෌⌧࡛ࡁࡿࡇ࡜ࢆ☜ㄆࡋࡓ㸦ᅗ 3㸧ࠋ௒ᚋࡣ㸪ᚲせ࡟ᛂࡌ࡚ᮏ㛤Ⓨࣔࢹࣝࡢㄪᩚ࣭ᨵⰋࢆ⾜࠺࡜࡜ࡶ࡟㸪EV ᑟධ࣭ά⏝᫬ࡢ⣔⤫㈇Ⲵࣔࢹࣝ
㸦EV ࡢ㞟ྜయ࡜ࡋ࡚ࡢ≉ᛶࢆ⪃៖ࡋࡓࣔࢹࣝ㸧ࡢ㛤Ⓨࢆ㐍ࡵࡿࠋ69ὀ 1)⤒῭⏘ᴗ┬㸪ࠕ2050 ᖺ࣮࢝࣎ࣥࢽ࣮ࣗࢺࣛࣝ࡟క࠺ࢢ࣮ࣜࣥᡂ㛗ᡓ␎ࠖ
㸦2021㸧
2)⣔⤫㈇Ⲵ࡜ࡣୖ఩⣔⤫࠿ࡽぢࡓ㟂せᐙഃᶵჾࡢ㞟ྜయ࡛࠶ࡿࠋ௒ᚋ⣔⤫㈇Ⲵࡢ୺せ࡞せ⣲࡟࡞ࡿ࡜᝿ᐃࡉࢀࡿ EV⏝඘㟁ჾࡢ≉ᛶࡣᮍ▱࡛࠶ࡿ࡜࡜ࡶ࡟㸪 ࡇࡢᑟධᣑ኱ࡀ⣔⤫㈇Ⲵࡢ≉ᛶ࡟୚࠼ࡿᙳ㡪ࡣ᫂ࡽ࠿࡜࡞ࡗ࡚࠸࡞࠸ࠋ
3)ᬑ㏻඘㟁ჾࡣᅜෆࢩ࢙࢔ୖ఩ࡢᶵ✀㸪ᛴ㏿඘㟁ჾࡣᐇドヨ㦂῭ࡳ࡛ᐇ⣔⤫࡬ࡢᑟධᐇ⦼ࡀ࠶ࡿᶵ✀ࢆ㑅ᐃࡋࡓࠋ4)௵ពࡢ㟁ᅽ࣭࿘Ἴᩘࢆ⏕ᡂྍ⬟࡞࢖ࣥࣂ࣮ࢱ㟁※࡜ EV ➼ࢆ┤⤖ࡋ࡚≉ᛶᢕᥱヨ㦂ࢆᐇ᪋ࡋࡓࠋEV ⏝඘㟁ჾࡢຊ⋡ࡣ 1㸦ᶆ‽್㸧࡛࠶ࡾ㸪↓ຠ㟁ຊࡣ㟁ᅽ࣭࿘Ἴᩘኚື᫬ࡶ࡯ࡰ 0 ࡛࠶ࡿࡓࡵ㸪᭷ຠ㟁ຊࡢᛂືࡢࡳࢆᑐ㇟࡜ࡋࡓࠋ
5) ୍⯡ⓗ࡟඘㟁㟁ຊࡣᐃ᱁㟁ຊ್࡜࡞ࡾ㸪ᨺ㟁㟁ຊࡣᣦᐃࡋࡓ್㸦ᮏヨ㦂࡛ࡣᐃ᱁㟁ຊ್㸧࡜࡞ࡿࠋ6) ⣔⤫㈇Ⲵࡢ≉ᛶࡣ㸪୍⯡࡟ᣦᩘ㛵ᩘࣔࢹࣝ㸦ୗᘧ㸧࡟ࡼࡾ⾲⌧ࡉࢀࡿࠋ
1+

P=P

Δf

1+

Q=Q

Δf

㸪
∶ ᭷ຠ࣭↓ຠ㟁ຊࡢ㟁ᅽ≉ᛶᣦᩘ 㸪 ∶ ᭷ຠ࣭↓ຠ㟁ຊࡢ࿘Ἴᩘ≉ᛶಀᩘP 㸪Q ∶ ᭷ຠ࣭↓ຠ㟁ຊࡢึᮇ್ ∶ 㟁ᅽࡢึᮇ್  Δf ∶ ึᮇ࿘Ἴᩘ(f )࠿ࡽࡢ࿘Ἴᩘ೫ᕪ [Hz]7)୍⯡ⓗ࡟࢖ࣥࣂ࣮ࢱ㈇Ⲵࡢ ࡜ ࡣ 0 ࡛࠶ࡾ㸪࢖ࣥࣂ࣮ࢱ໬ࡢ㐍⾜࡟ࡼࡾ⣔⤫㈇Ⲵࡢ ࡜ ࡶ 0 ࡟㏆࡙࠸࡚࠸ࡃࠋୖ఩⣔⤫༢┦ ᬑ㏻඘㟁ࢥࣥࢺ࣮ࣟࣝ࣎ࢵࢡࢫ
9
ಖㆤ⣔
㟁ὶไᚚ⣔
ᰕ≧ኚ㟁ᡤ ኚᅽჾ

ᛴ㏿඘㟁ಖㆤ⣔(9⏝3&6
㟁ὶไᚚ⣔

ᬑ㏻඘㟁
඘㟁ཱྀ

(9
㌴㍕3&6

ᛴ㏿඘㟁
඘㟁ཱྀ

ᬑ㏻඘㟁
඘㟁ཱྀ

㌴㍕㟁ụ

㟁ὶไᚚ⣔

ᛴ㏿඘㟁
඘㟁ཱྀ

(9
㌴㍕㟁ụ

ᅗ  ྛ඘㟁᪉ᘧࡢ⣔⤫㐃⣔ࡢᴫせ⾲  ௦⾲࣓࣮࢝ᕷ㈍ရࡢ (9 ⏝ᬑ㏻ᛴ㏿඘㟁ჾࡢ㟁ᅽ࣭࿘Ἴᩘ≉ᛶ
㟼≉ᛶ
ື≉ᛶ
⬺ⴠ≉ᛶ
࣭㟁ᅽ≉ᛶࡣᐃ㟁ὶ≉ᛶ࡛࠶ࡿ ࣭㟁ᅽపୗ┤ᚋࡣ㌴㍕⏝ PCS ࡢ㟁ὶไᚚ⣔㸦඘ ࣭▐ప㉳ᅉࡢ⬺ⴠࡣ࠶ࡾ㸦⪏㔞ࡣ㸦ྑ࡟グ㍕ࡢࢥࣥࢺ࣮ࣟࣝ࣎ 㟁㟁ຊ୍ᐃไᚚ㸧࡟ࡼࡾ㸪0.1 s ⛬ᗘ࡛㟁ᅽኚࢥࣥࢺ࣮ࣟࣝ࣎ࢵࢡࢫࡢಖㆤ⣔ᬑືᖜ࡟ᛂࡌࡓ㟁ὶ್࡟ⴠࡕ╔ࡃࠋࢵࢡࢫࡢᛂື࡟ࡼࡿ㸧ࠋ࡛Ỵࡲࡿ㸧ࠋ▐ప⥅⥆᫬㛫 0.3 s ᮍ㏻
࣭㟁ᅽపୗ࠿ࡽ 0.15 s ⛬ᗘ⤒㐣ᚋ㸪ࢥࣥࢺ࣮ࣟࣝ ‶ࡢ㟁ᅽపୗ࡛ࡣ⬺ⴠࡋ࡞࠸ࠋ
࣭࿘Ἴᩘ≉ᛶࡣ࡞ࡋࠋ
඘࣎ࢵࢡࢫࡢ㟁ὶไᚚ⣔㸦㟁ὶ୍ᐃไᚚ㸧࡟ࡼ
0.3 s ௨ୖࡢሙྜࡣ㟁ᅽపୗᖜ㟁
60%௨ୖ࡛⬺ⴠࡍࡿࠋࡾ 1 s ⛬ᗘ࡛ᐃ᱁㟁ὶ࡟ᘬࡁᡠࡉࢀࡿࠋ
࣭㟁ὶ࣑ࣜࢵࢱࡣᐃ᱁㟁ὶࡢ 3.2 ಸ⛬ᗘ࡛࠶ࡿࠋ ࣭࿘Ἴᩘኚື㉳ᅉࡢ⬺ⴠࡣ࡞ࡋࠋ
࣭㟁ᅽ≉ᛶࡣᐃ㟁ຊ≉ᛶ࡛࠶ࡿ ࣭EV ⏝ PCS ࡢ㟁ὶไᚚ⣔㸦඘㟁㟁ຊ୍ᐃไ࣭▐ప㉳ᅉࡢ⬺ⴠࡣ࡞ࡋࠋࡓࡔ
㸦EV ⏝ PCS ࡢ㟁ὶไᚚ⣔ᚚ㸧࡟ࡼࡾ㸪0.5 s ⛬ᗘ࡛㟁ᅽኚືᖜ࡟ᛂࡌࡓ
ࡋ㸪EV ⏝ PCS ࡢಖㆤ⣔࡟ࡼࡾ㟁㸦඘㟁㟁ຊ୍ᐃไᚚ㸧ࡢᛂື 㟁ὶ್࡟ⴠࡕ╔ࡃࠋᅽపୗᖜ 80%௨ୖ࡛ࢤ࣮ࢺࣈࣟ
ᛴ࡟ࡼࡿ㸧ࠋࡓࡔࡋ㸪㟁ὶ࣑ࣜ ࣭㟁ὶ࣑ࣜࢵࢱࡢ್ࡣ඘㟁᫬࡜ᨺ㟁᫬࡛␗࡞ࢵࢡࡍࡿࠋ㏿ࢵࢱࡢไ⣙࡟ࡼࡾᐃ㟁ຊ≉ᛶ ࡿࠋ඘㟁᫬ࡣᐃ᱁㟁ὶࡢ 1.1 ಸ㸪ᨺ㟁᫬ࡣᐃ᱁ ࣭࿘Ἴᩘኚື㉳ᅉࡢ⬺ⴠࡣ࠶ࡾࠋ
඘࡜࡞ࡿ㟁ᅽపୗᖜࡣ඘㟁᫬ࡀ 㟁ὶࡢ 1.2 ಸ⛬ᗘ࡛࠶ࡿࠋ
㸦EV ⏝ PCS ࡢಖㆤ⣔ࡢ༢⊂㐠㌿㟁10%⛬ᗘᮍ‶㸪ᨺ㟁᫬ࡀ 15%᳨ᶵ⬟࡟ࡼࡿ㸧㸦࣭EV ⏝ PCS ࡢಖㆤ⣔࡜ࡋ࡚⛬ᗘᮍ‶ࡢሙྜ࡟㝈ࡽࢀࡿࠋOVR/UVR㸪OFR/UFR ࡀ࠶ࡿ㸧࣭࿘Ἴᩘ≉ᛶࡣ࡞ࡋࠋ

䢳䢰䢲䢲
䢲䢰䢻䢷
䢲䢰䢻䢲
䢳䢰䢳䢲

㟁ὶ䢢䣝䣲䣷䣟

ᬑ㏻඘㟁䢢 ᛴ㏿඘㟁凚඘㟁凛䢢 ᛴ㏿඘㟁凚ᨺ㟁凛

ᬑ㏻඘㟁僔ሙྜ凞 ᛴ㏿඘㟁僔ሙྜ凞 ᬑ㏻඘㟁僔ሙྜ凞඘㟁㟁ຊ僸୍ᐃ僑 ඘ᨺ㟁㟁ຊ僸඘㟁㟁ὶ傲ᐃ᱁僑ಖ僊僮催僑㟁ὶ僸 ୍ᐃ僑ಖ僊僮催僑 ᘬ傳ᡠ傻僲僱僅僧㟁ὶ僸ቑຍቑຍ᭷ຠ㟁ຊ傲ῶᑡ

䢳䢰䢲䢷
䢳䢰䢲䢲
䢲䢰䢻䢷
䢲䢰䢻䢲

㌴㍕

儗兗儬兑兠兏兀儧儓儝僔ᛂື䣒䣅䣕僔ᛂື

䢲䢰䢲

䢲䢰䢴

䢲䢰䢶

䢲䢰䢸
䢲䢰䢺
᫬㛫䢢䣝䣵䣟

䢳䢰䢲

䢳䢰䢴

䢳䢰䢶

᭷ຠ㟁ຊ䢢䣝䣲䣷䣟ᅗ  㟁ᅽࢫࢸࢵࣉኚື㸦㟁ᅽపୗᖜ 㸧᫬ࡢ(9 ⏝඘㟁ჾࡢᛂື䢳䢰䢴䢢ᐇ⾲  (9 ࡢᑟධᣑ኱ࡀ⣔⤫㈇Ⲵࡢ≉ᛶ࡟୚࠼ࡿᙳ㡪඘㟁᪉ᘧ EV ࡢ㟁ᅽ࣭࿘Ἴᩘ≉ᛶ ㈇Ⲵ≉ᛶ࡟୚࠼ࡿᙳ㡪㟁ᅽ≉ᛶࡣᐃ㟁ὶ≉ᛶ Șp ࢆቑຍࡉࡏࡿ
ᬑ㏻඘㟁࿘Ἴᩘ≉ᛶࡣ࡞ࡋșp ࢆῶᑡࡉࡏࡿ
㟁ᅽ≉ᛶࡣᐃ㟁ຊ≉ᛶ Șp ࢆῶᑡࡉࡏࡿᛴ㏿඘㟁࿘Ἴᩘ≉ᛶࡣ࡞ࡋșp ࢆῶᑡࡉࡏࡿͤȘp ࡢῶᑡ㸦ቑຍ㸧ࡣ⣔⤫㈇Ⲵࡢ㟁ᅽኚື⦆࿴ຠᯝࢆῶᑡ㸦ቑຍ㸧ࡉࡏࡿࠋșp ࡢῶᑡ㸦ቑຍ㸧ࡣ⣔⤫㈇Ⲵࡢ࿘Ἴᩘኚື⦆࿴ຠᯝࢆῶᑡ㸦ቑຍ㸧ࡉࡏࡿࠋ⾲  ᐇຠ್ゎᯒ⏝ (9 ⏝඘㟁ჾࣔࢹࣝࡢᵓᡂせ⣲
㟁ὶไᚚ⣔
ಖㆤ⣔
࣭PI ไᚚ⣔㸦㌴㍕ PCS㸧 ࣭▐᫬㟁ᅽపୗ࣮ࣜࣞ
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䢲䢰䢺

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䢲䢰䢶

䢲䢰䢸
䢲䢰䢺
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᫬㛫䢢䣝䣵䣟

(a㸧ᬑ㏻඘㟁 㸦b㸧ᛴ㏿඘㟁ᅗ  㟁ᅽࢫࢸࢵࣉኚື㸦㟁ᅽపୗᖜ 㸧᫬ࡢ (9 ⏝඘㟁ჾࡢᐇ ᑐẚ

70

傍 䢢ゎᯒ

䢳䢰䢲

䢳䢰䢲

䢳䢰䢴

䢳䢰䢶

光学振動計測技術を用いた電柱の振動姿態の可視化

高田 巡＊1

Key Words：Utility pole
Deterioration diagnosis
Vibration mode
Video processing
Optical vibration sensing

キーワード：電柱
劣化診断
振動姿態
動画像処理
光学振動計測Visualizing Vibration Modes of a Utility Pole by Optical Vibration Sensing
Jun Takada

Abstract
The dynamic behavior of utility poles, such as vibration and displacement, can provide a lot of information about theirstructural strength. For this reason, various methods for sensing and simulating the dynamic behavior of utility poles have beendeveloped. However, in order to obtain detailed information on the natural vibration modes of actual poles, it is conventionallyrequired to install multiple contact-type sensors on the poles, which is difficult to apply to a huge number of existing poles in
the field. Optical vibration sensing technology, which enables a remote and non-contact vibration measurement andvisualization only by video cam, is expected to greatly facilitate the analysis of vibration modes on existing poles. In order toevaluate this technology, we conducted a test analysis to visualize the vibration modes of an experimental utility pole undernatural wind conditions (wind speed of 4-10 m/s). The results implied that the vibration modes of the pole in the direction of
the overhead wires and the direction perpendicular to the overhead wires could be visualized at 1.1 Hz and 1.5 Hz, respectively,from the footage of the pole taken by a video cam or a smartphone fixed on a tripod. Moreover, the results also implied that thevibration mode of the transformer on the pole could be visualized at 8.8 Hz when the footage was taken with sufficient
resolution (over 28 megapixels). We will further expand the verification to clarify the range of applicability of this technology
which covers sufficient accuracy, and also apply this technology to poles in various states to examine whether it can detectchanges in strength and stability of poles.

*1 グリッドイノベーション研究本部

ENIC 研究部門 上席研究員©CRIEPI71

背景

国内の一般送配電事業者・通信事業者が管理する配電柱および電信柱（以下電柱）は
約 3600 万本あり、各事業者はその状態に応じて更新や補強を行っている。構造力学分野
において構造物の強度変化は外力に対する応答特性（変位・振動）に現れるとされ、特に局所的な損傷の影響は振動姿態注 1）に現れることが知られている。しかし一般に振動姿
態の計測には空間的に密なセンサ設置が必要であるため、膨大な数の既設電柱に適用す
ることは技術と費用の面から従来不可能であった。これに対し、近年、カメラで撮影した動画を使い、構造物の変位や振動姿態を簡便に計測し可視化できる光学振動計測技術が開発されている[1][2]。本技術を用いれば巡視等の際に容易に電柱の柱体（本体）の振動
姿態を計測できるだけでなく、柱上設備の装着状態まで対象を広げた検査ができる可能性がある。しかし、本技術を電柱などの配電設備計測に適用した例はほとんど無く、柱体や柱上設備の振動姿態を可視化できるかどうかは確認されていない。

目

的

光学振動計測技術を用いて電柱柱体や柱上設備の振動姿態を可視化できるかを調査し、実現可能性を明らかにする。

主な成果
1. 電柱柱体の振動姿態の可視化
電柱柱体の振動姿態の計測実験用に、2800-6300 万画素で 1 秒間に 75-160 枚の画像を撮影できるシネマカメラと、830 万画素で 1 秒間に約 30 枚の画像を撮影できるスマートフ
ォンを準備した。両撮影機器を三脚で固定し、屋外の試験用電柱注 2）を風速 5-10 m/s の時に撮影した。撮影画像に光学振動計測技術を適用して振動を 1000-10000 倍に強調した結果、1.1 Hz で架線方向、1.5 Hz で架線直角方向の振動姿態が可視化できた（図 1）。ただし、
手持ち撮影時や風速が小さい場合（4 m/s以下）、弁別可能な形での可視化が難しいことも分かった。以上の結果から電柱柱体の振動姿態の可視化の実現可能性が確認できた。
2. 柱上設備の振動姿態の可視化
柱上設備の振動姿態を捉えるため、高解像度撮影ができるシネマカメラを三脚固定し、試験用電柱全体を高解像度（2800 万画素以上）で撮影した。撮影画像に光学振動計測技術を適用した結果、柱体と柱上変圧器で異なる振幅特性が得られ（図 2(a)(b)）
、8.8 Hz において両者が異なる振動姿態を示す様子が可視化できた（図 2(c)）
。以上の結果から柱上

注 1）振動モードとも呼ばれ、振動の空間的形状（各点の振動方向や振幅、節や腹の位置等）を表したもの。
注 2）試験用のため、供用中の電柱とは柱上設備の設置位置、固定状態などの条件が異なる可能性がある。

©CRIEPI72

設備の振動姿態の可視化の実現可能性が確認できた。

今後の展開
今後、安定・頑健な計測精度を得るための条件や適用可能範囲を明らかにする。さらに、本手法を様々な状態の電柱に適用し、季節（気温）や電線の接続状態・張力、電柱の強度や耐力による振動への影響を分析する。

図 1 風速 10 m/s 時の電柱柱体の振動姿態を光学振動計測技術により強調可視化した例

図 2 風速 10 m/s 時の柱上設備の振動姿態を光学振動計測技術により強調可視化した例
参考文献：[1] 高田巡, 太田雅彦. インフラ構造物の振動・変形を可視化する光学振動計測技術の開発. ビジョン技術の実利用ワー
クショップ. 2019, IS1-C2.
[2] 高田巡, 伊藤雅彦. カメラによる振動計測法の発電設備への適用性検証―水車発電機振動の試験計測―.電力中央研究
所報告 C20013, 2021.

©CRIEPI73

PV 余剰電力活用のための複数台の家庭用ヒートポンプ式給湯機の連携運転計画法の提案と評価
石川

歩惟 ∗1

キーワード：ヒートポンプ式給湯機
太陽光発電
集合住宅
最適化システム
遺伝的アルゴリズム

所

健一 ∗2

Key Words：Heat pump water heater
Photovoltaic power generation
Multiple dwelling
Optimization system
Genetic algorithm

Development and Evaluation of an Operation Planning Method for Multiple
Residential Heat Pump Water Heaters for Eﬀective Use of Surplus PV
Power
Ai Ishikawa and Ken-ichi Tokoro

Abstract
In Japan, a number of houses that installed a photovoltaic power system has been increased. Because of
a concern about power system load by reverse power ﬂow, self-consumption of surplus photovoltaic powerby heat pump water heaters (HPWHs) in the houses has attracted attention. In the case such as a multiple
dwelling, where the surplus power from one photovoltaic power system can be shablack by several houses,
it is expected that cooperative operation of multiple HPWHs leads a long-time and/or a large amount ofabsorption of the surplus.
In this report, we propose an operation planning method for multiple residential HPWHs. The method
can derives cooperative operation plan that blackuces electric bill and reverse power ﬂow as much as possible
under the speciﬁc conditions inherent in HPWHs, by using the genetic algorithm. The conditions include thestartup losses, the dissipation loss, the limitation of storage tank volume and ensuring the minimal storage of
hot water. Through a numerical experiment with actual demand data, we found that a cooperative operation
plan of three HPWHs derived by the proposed method enables to suppress maximum reverse power ﬂow
from a 4 kW overloaded photovoltaic system to 2.10 kW, although it is 3.11 kW when operation of the three
HPWHs is planned independently each other.

∗1∗2

グリッドイノベーション研究本部
グリッドイノベーション研究本部

ENIC 研究部門
ENIC 研究部門

主任研究員
上席研究員

74
i

©CRIEPI背景

近年、太陽光発電 (PV) の普及拡大が進み、多量の逆潮流による電圧上昇や配電線
設備容量の不足などの問題が生じている。この解決策の一つとして、家庭用ヒート
ポンプ式給湯機 (HP 式給湯機) を活用した余剰電力の自家消費が注目されている。
ただし、現状は主として個別の戸建住宅が対象となっており、集合住宅やマイクログリッドなどを対象に、余剰電力を複数世帯で融通しながら自家消費する方法は十分検討されていない。

目

的

複数台の HP 式給湯機を連携し、PV 余剰電力を効果的に自家消費する方法を提案する。また、実需要家のデータを用いた数値実験により提案手法の有効性を評価
する。

主な成果
1. PV 余剰電力を活用する複数台 HP 式給湯機の連携運転計画法
複数世帯で余剰電力を効果的に自家消費するために、複数台の HP 式給湯機を連携運転する計画手法を考案した。提案手法では、1 日の起動回数の上限や放熱ロス、湯切れ防止など、HP 式給湯機特有の制約を考慮した上で、需要家側の電気代負担は最小限に留めつつ、自家消費を最大限に増やすような連携運転計画を作成する (図 1)。
複雑な制約条件を考慮した最適化が行えるよう、計画作成には代表的なメタヒュー
リスティックの一つである遺伝的アルゴリズムを採用した。

2. 余剰電力の有効活用に対する提案手法の有効性評価
提案手法の有効性を評価するため、3 世帯で一つの PV 出力を共用するなど、表 1に示す限定的な条件下で数値実験を行った。実験では、余剰電力が発生しやすい 5
月の快晴日を想定し、日射量を所与として、1 日分の運転計画を作成した。その上で、実需要家の電力需要データおよび給湯需要データを用い、提案手法で作成した連携運転計画を評価した。その結果、各世帯を個々に最適化する場合に比べ、3 世
帯の電気代負担は同等のままに、最大逆潮流を 3.11 kW から 2.10 kW に削減でき (図2)、作成した連携運転計画の有効性を確認した。

今後の展開
様々な季節、天候、多様な需要パターンをもつ世帯を組み合わせるなど、より現実的な条件下で連携運転の有効性を詳細に検証する。

75
ii©CRIEPI図 1 考案した連携運転計画法の概略

表 1 実験条件
設定

備考
需要パターン

世帯数

3

時間分割数

96

PCS 容量

4 kW

過積載率

144 %

天候

快晴
1.2 kW
4.0
1 %/時
300 L

の異なる世帯
15 分 1 コマの単位で計算
3 世帯で共用
PCS 容量＜パネル容量
—
—
—
—
—

2回

—

25.8 円/kWh17.78 円/kWh
3.36 円/kWh19.00 円/kWh6∼ 翌 1 時
1∼6 時
2021 年度値
2021 年度、FIT

定格消費電力COP
放熱ロス率
貯湯タンク容量

1 日の最大起動回数電気料金 (※)
再エネ賦課金売電料金※ 参考：東京電力スマートライフ S/L

図 2 個別計画と連携運転計画での逆潮流の比較

76
iii©CRIEPI㟁☢Ἴࢆ⏝࠸ࡓࢥࣥࢡ࣮ࣜࢺෆࡢ✵㝽ィ 㸦㸯㸧㸫ࢥࣥࢡ࣮ࣜࢺ⾲㠃௜㏆ࡢ✵㝽ィ ⏝ࣔࢹࣝࡢᥦ᱌㸫ᮏ⏣ ໶㸨+XVVDLQ$OVDOHP㸨⏣୰ Ꮥஅ㸨ᅵ஭ ᬡ㸨ෆ⏣ ⱱ㸨኱㔝 ‪ே㸨

Key Words㸸Concrete wall
Non-destructive inspection
Non-contact inspection
Void detection
Electromagnetic wave࣮࣮࢟࣡ࢻ㸸ࢥࣥࢡ࣮ࣜࢺቨ
㠀◚ቯ᳨ᰝ
㠀᥋ゐ᳨ᰝ
✵㝽᳨ฟ
㟁☢Ἴ

Inspection of voids in concrete using electromagnetic waves (1)-Proposal of model for measuring voids near concrete surfaceTakumi Honda, Hussain Alsalem, Takayuki Tanaka, Satoru Doi,
Shigeru Uchida and Wakuto Ono

Abstract
The large amount of reinforced concrete structures such as utility poles and buildings are used for electric power equipment,
and the safety of the equipment has been confirmed through inspections by experts. However, in recent years, due to the numberof equipment deteriorated over time increases, and the number of inspectors decreases, so the efficient inspection method isregarded as important. To solve these problems, we have proposed the non-destructive inspection method for voids in concrete
using electromagnetic waves, and we describe improvements. We have shown the possibility of quantitative measurement using
microwave multi-layered scanning (MLS), which can confirm voids that are precursors of concrete peeling. It is necessary tobuild a mathematical model and improve usability in order to enable quantitative void measurement using MLS. We propose
a mathematical model that measures voids inside concrete with electromagnetic waves.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࣇ࢓ࢩࣜࢸ࢕ᢏ⾡◊✲㒊㛛 ୺௵◊✲ဨ*2 ໭ᾏ㐨኱Ꮫ ᝟ሗ⛉Ꮫ◊✲⛉*3 ኱ᯘ⤌©CRIEPI77⫼  ᬒ㟁ຊタഛ࡛ࡣᘓᒇ࡞࡝ࡢࢥࣥࢡ࣮ࣜࢺ〇ᵓ㐀≀ࢆ኱㔞࡟౑⏝ࡋ࡚࠾ࡾࠊᑓ㛛ᐙ࡟ࡼࡿⅬ᳨ࡸ᳨ᰝࢆ㏻ࡋ࡚タഛࡢᏳ඲ᛶࢆ☜ಖࡋ࡚࠸ࡿࠋࡋ࠿ࡋࠊ⤒ᖺタഛᩘࡢቑຍࡔࡅ࡛࡞
ࡃᅜෆࡢᑡᏊ㧗㱋໬ࡢ㐍⾜࡟ࡼࡾࠊᑓ㛛▱㆑ࢆᣢࡘ᳨ᰝဨࡢ☜ಖࡀ㞴ࡋࡃ࡞ࡾࡘࡘ࠶ࡾࠊ
㠀᥋ゐ࡛㈨᱁࡞࡝ࡀᚲせࡢ࡞࠸⡆౽࡞᳨ᰝ᪉ἲࡀᮃࡲࢀ࡚࠸ࡿࠋࡑࡇ࡛ᙜᡤࡣ㟁☢Ἴࢆά⏝ࡋࡓ࣐࢖ࢡࣟἼከᒙ㉮ᰝἲ㸦MLS: Multi-layered scanning㸧ὀ 1㸧ࢆ౑⏝ࡋ࡚ࠊࢥࣥࢡ࣮ࣜ
ࢺ⾲㠃௜㏆ࡢ✵㝽ࢆᐃ㔞ⓗ࡟ィ ࡍࡿᡭἲࡢ㛤Ⓨ࡟ྲྀࡾ⤌ࢇ࡛࠸ࡿ[1]ࠋࢥࣥࢡ࣮ࣜࢺ〇ᵓ㐀≀ࡣ୍⯡ⓗ࡟ಖㆤሬ⿦ࡸࢱ࢖ࣝ࡞࡝࡛ಖㆤࡉࢀ࡚࠾ࡾࠊࡇࡢ⾲㠃௜㏆࡟Ⓨ⏕ࡍࡿ✵㝽࡟ࡼࡿ๤㞳ࡀၥ㢟࡜࡞ࡿࠋ✵㝽ࡀὸ࠸࡯࡝๤㞳ࡋࡸࡍ࠸ࡓࡵࠊ✵㝽ࡢ᭷↓࡞ࡽࡧ࡟῝ࡉࢆ᥎ᐃࡍࡿࡇ࡜ࡣ㔜せ࡛࠶ࡿࠋᚑ᮶ࡢ MLS ࣔࢹࣝᘧ[1]ࢆ⏝࠸ࡓィ ᡭἲ࡛✵㝽ࡢ᭷↓ุᐃࢆᐇ⌧ࡋࡓࡀࠊ῝ࡉ᪉ྥࡢ᝟ሗࡣ᥎ᐃ࡛ࡁ࡚࠸࡞࠿ࡗࡓࠋ┠  ⓗࢥࣥࢡ࣮ࣜࢺ⾲㠃௜㏆ࡢෆ㒊✵㝽࡟ࡘ࠸࡚㟁☢Ἴィ ࢆ⏝࠸࡚✵㝽῝ࡉࢆ᥎ᐃࡍࡿࡓ
ࡵ࡟ࠊᚑ᮶ࡢ MLS ࣔࢹࣝᘧࢆᨵⰋࡋࡓࣔࢹࣝᘧࢆᥦ᱌ࡍࡿࠋࡲࡓࠊᐇ㦂࡟ࡼࡾᥦ᱌ࣔࢹ
ࣝ࡟ࡼࡿ᥎ᐃ⤖ᯝࡢጇᙜᛶࢆ᳨ドࡍࡿࠋ୺࡞ᡂᯝ ✵㝽῝ࡉィ ࡢࡓࡵࡢࣔࢹࣝᘧࡢᥦ᱌
㏦ಙ࢔ࣥࢸࢼ࡜ཷಙ࢔ࣥࢸࢼ㛫ࡢ㟁☢Ἴ࡜ࡋ࡚ࠊձ┤᥋Ἴࠊղ᳨య⾲㠃ࡢ཯ᑕἼࠊճ
᳨యෆࡢ✵㝽ୖ㠃࡛ࡢ཯ᑕἼࠊմ᳨యෆࡢ✵㝽ୗ㠃࡛ࡢ཯ᑕἼࡢ 4 ✀ࢆ௬ᐃࡋࡓ≀⌮≉ᛶࢆ཯ᫎࡋࠊ῝ࡉࢆ᥎ᐃ࡛ࡁࡿࣔࢹࣝᘧࢆᥦ᱌ࡋࡓࠋᅗ 1(a)ࡣ┤㐩⤒㊰࡜཯ᑕ⤒㊰ࡢ㟁☢Ἴࡀᖸ΅ࡍࡿࣔࢹ࡛ࣝ࠶ࡾࠊ࢔ࣥࢸࢼ࡜ࢥࣥࢡ࣮ࣜࢺ㛫㊥㞳ࡀኚ໬ࡍࡿ࡜ࠊ┤㐩⤒㊰
ࡣኚࢃࡽ࡞࠸ࡀ཯ᑕ⤒㊰ࡣኚ໬ࡍࡿࡓࡵࠊᖸ΅ࡢ௙᪉ࡀኚ໬ࡋ㟁☢Ἴᙉᗘࡀኚ໬ࡍࡿࠋ
ᅗ 1(b)ࡢ᭤⥺ࡣࡑࢀࡒࢀ✵㝽ࡢ᭷࣭↓ࡢィ ⤖ᯝ࡟ᇶ࡙ࡁᥦ᱌ࣔࢹࣝᘧࡢಀᩘࢆỴᐃࡋࠊ㏆ఝࡉࡏࡓ⤖ᯝࢆ♧ࡋ࡚࠸ࡿࠋࡇࡢ 2 ᭤⥺ࡢ఩┦ᕪ࠿ࡽ✵㝽ࡢ῝ࡉࢆ᥎ᐃ࡛ࡁࡿࠋ ᐇ㦂࡟ࡼࡿᥦ᱌ࣔࢹࣝࡢጇᙜᛶ᳨ドᥦ᱌ࣔࢹࣝࢆ᳨ドࡍࡿࡓࡵࠊࡇࢀࡲ࡛࡟㛤Ⓨࡋࡓ✵㝽ィ ⿦⨨[1]㸦ᅗ 2㸧ࢆ⏝࠸࡚ࠊࢱ࢖ࣝ࡜ࢥࣥࢡ࣮ࣜࢺ㛫ࡢ✵㝽࡟ࡼࡿ๤㞳ࢆᶍᨃࡋࡓ᳨య㸦ᅗ3㸧ࢆィ ࡋࠊ✵㝽῝ࡉࢆ᥎ᐃࡋࡓࠋᅗ 4ࡣᅗ 3ࡢィ ⥺࡟ἢࡗ࡚ィ ࡋࡓ⤖ᯝ࠿ࡽ᥎ᐃࡋࡓ✵㝽῝ࡉ࡛࠶ࡾࠊ✵㝽ࡢ᭷↓࡜῝ࡉࡀ᥎ᐃ࡛ࡁ࡚࠸ࡿࡇ࡜ࢆ♧ࡍࠋࡑࡢ᥎ᐃ್ࡣ᳨యࡢタᐃ್࡜ᴫࡡ୍⮴ࡋࡓࠋࡇࢀ࡟ࡼࡾࠊᥦ᱌ࣔࢹࣝࡢጇᙜᛶࡀ᳨ドࡉࢀࡓࠋ௒ᚋࡢᒎ㛤ィ ஦౛ࢆቑࡸࡋࠊ௒ᅇࡢࣔࢹࣝᘧ࡟ྵࡵ࡞࠿ࡗࡓእ஘ࡢᙳ㡪ࢆㄪ࡭ࠊᐇ⏝໬ࢆᅗࡿࠋ

©CRIEPI78఩┦ᕪࡼࡾ
῝ࡉ఩⨨ࢆ
᥎ᐃ
㟁☢Ἴᙉᗘ

✵㝽᭷ࡾ఩⨨ࡢィ ್✵㝽᭷ࡾࣔࢹࣝ
✵㝽↓ࡋ఩⨨ࡢィ ್✵㝽↓ࡋࣔࢹࣝ

ͤከ㔜཯ᑕࡣ
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ุู

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࢔ࣥࢸࢼ࡜ࢥࣥࢡ࣮ࣜࢺ㛫㊥㞳E ᥦ᱌ࣔࢹࣝᘧ࡟ࡼࡿゎᯒ౛ᅗ  ᥦ᱌ࣔࢹࣝࡢཎ⌮༢఩(mm)㏦ಙ࢔ࣥࢸࢼ

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ࢱ࢖ࣝ࡟ྜࢃࡏࠊ
ཌࡉ 1mm ࡜ࡋࡓࢥࣥࢡ࣮ࣜࢺ᳨యഃ㠃ᅗᅗ  ࢥࣥࢡ࣮ࣜࢺ᳨యタィᅗᅗ  ᐇ㦂⿦⨨῝ࡉ 17~18mm ࡛タィ್࡜୍⮴(b)᥎ᐃ್࡜タィᅗࡢẚ㍑(a)✵㝽῝ࡉࡢ᥎ᐃ್
ͤࣔࣝࢱࣝࡢẚㄏ㟁⋡ࡣࢥࣥࢡ࣮ࣜࢺ࡜ྠ⛬ᗘ࡜ࡋ࡚῝ࡉࢆ᥎ᐃࡋࡓᅗ  ✵㝽῝ࡉࡢタィ್࡜᥎ᐃ್
ὀ 1㸧᪤Ꮡࡢ㟁☢Ἴᡭἲࡣ࿘Ἴᩘࢆኚㄪࡉࡏィ ࡍࡿࡓࡵィ ჾࠊィ⟬ᶵࡀ㧗ࢥࢫࢺ࡜࡞ࡿࠋ୍᪉ࠊMLS ࡛ࡣ࿘Ἴᩘࢆ
ᅛᐃࡋࠊ௦ࢃࡾ࡟ቨ㠃࡜࢔ࣥࢸࢼ㛫㊥㞳ࢆኚ᭦ࡋ」ᩘᅇィ ࡍࡿࠋMLS ࡛⏝࠸ࡽࢀࡿ࿘Ἴᩘࡣ 10GHz ࡜㧗࠸ࡓࡵࢥࣥࢡ࣮ࣜࢺ⾲㠃௜㏆࡟㝈ᐃࡉࢀࡿࡀ㧗ศゎ⬟࡛ィ ࡛ࡁࡿࠋཧ⪃ᩥ⊩㸸[1] Takumi Honda, et al., Journal of Robotics and Mechatronics (JRM), Vol.31, No.6, pp. 863-870, 2019

©CRIEPI79

IP ಖㆤ࣮ࣜࣞ᝟ሗ࡟ᑐࡍࡿఏ㏦⤒㊰ࡢቑᙉࢥࢫࢺ᭱ᑠ໬࡟ྥࡅࡓタィᡭἲ࣐࢖ࢡࣟἼ↓⥺㏻ಙ⥙࡬ࡢ㐺⏝࡜ホ౯⏣୰ ᙲᾈ㸨࣮࣮࢟࣡ࢻ㸸࣐࢖ࢡࣟἼ↓⥺
ಖㆤ࣮ࣜࣞ
ᩘ⌮᭱㐺໬
࢖ࣥࢱ࣮ࢿࢵࢺࣉࣟࢺࢥࣝ
Ⅼ⣲ࣃࢫ኱ሙ ⱥ஧㸨

Key Words㸸microwave radio communication
protection relay
numerical optimizationinternet protocol
disjoint path

A Method for Designing Transmission Paths of IP-based Protection relay information
with minimum augmentation cost
-Application to Microwave Wireless Communication Networks and its Evaluation-

Akihiro Tanaka and Eiji Ohba

Abstract
In recent years, the application of IP-based technology to the transmission of power line protection relay information has
been studied. As the communication volume increases due to application of IP-based technologies, it may become difficult toaccommodate it in existing microwave radio communication networks, then microwave radio bandwidth may need to besignificantly increased.
In this paper, the authors formulated the problem determining transmission path of IP-based power line protection relay
information as a mathematical optimization problem with the objective function of minimizing the cost of microwave radio
bandwidth augmentation and solved it by using optimization solvers. They also implemented a greedy algorithm to design thepath sequentially according to the update of power line protection relay devices, and to find the least-cost microwave bandwidth
augmentation section each time when the microwave radio band is insufficient to accommodate the available capacity.
Numerical experiments showed that the proposed method can reduce the cost by 26% on average compared to the greedy
calculation method.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ୺௵◊✲ဨ*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ࢿࢵࢺ࣮࣡ࢡᢏ⾡◊✲㒊㛛 ≉ูკク

©CRIEPI80⫼  ᬒ⮬↛⅏ᐖࡢᙳ㡪ࢆཷࡅ࡙ࡽ࠸࣐࢖ࢡࣟἼ↓⥺㏻ಙࡣ㸪ᇶᖿ⣔⤫ࡢ PCM 㟁ὶᕪື࣮ࣜࣞ
ࢩࢫࢸ࣒࡟࠾ࡅࡿ᝟ሗ㸦௨ୗ㸪࣮ࣜࣞ᝟ሗ㸧ࡢఏ㏦࡟ከࡃ⏝࠸ࡽࢀ࡚࠸ࡿࠋ㏆ᖺ㸪࣮ࣜࣞ᝟ሗࡢఏ㏦࡟ IP ⣔ᢏ⾡ࢆ㐺⏝ࡋࡓ IP ࣮ࣜࣞࢩࢫࢸ࣒ࡢ᳨ウࡀ㐍ࡵࡽࢀ࡚࠸ࡿࠋIP ࣮ࣜࣞࢩࢫࢸ࣒ࡢ᪂タࡸ᪤Ꮡࡢ࣮ࣜࣞࢩࢫࢸ࣒࠿ࡽࡢ᭦᪂ࡀ㐍ࡴ࡜㏻ಙ㔞ࡀቑ኱ࡍࡿࡓࡵ 1)㸪
࣐࢖ࢡࣟἼ↓⥺ᖏᇦࡢቑᙉࡀᚲせ࡟࡞ࡿྍ⬟ᛶࡀ࠶ࡿࠋIP ࣮ࣜࣞࢩࢫࢸ࣒ࡢせ௳ࢆ‶㊊
ࡍࡿఏ㏦⤒㊰ࡢタィࢆ㸪᪂タࡸ᭦᪂ࡢ᫬ᮇ࡟ᛂࡌ࡚㏲ḟ⾜࠺᪉ἲࡣ㸪┤㏆ࡢ࣐࢖ࢡࣟἼ
↓⥺ᖏᇦࡢቑᙉࢥࢫࢺࡢࡳࢆ⪃៖ࡋࡓタィࢆ⧞ࡾ㏉ࡍࡇ࡜࡜࡞ࡿࠋࡇࢀ࡟ᑐࡋ㸪඲࡚ࡢ᪂タࡸ᭦᪂ࢆ㋃ࡲ࠼ࡓఏ㏦⤒㊰ࡢタィ᪉ἲ࡟ᇶ࡙ࡁቑᙉィ⏬ࢆ❧᱌ࡍࡿࡇ࡜ࡀ࡛ࡁࢀࡤ㸪࣐࢖ࢡࣟἼ↓⥺㏻ಙ⥙ࡢᵓ⠏࡟せࡍࡿ⥲ࢥࢫࢺࡢపῶࡀᮇᚅ࡛ࡁࡿࠋ┠  ⓗ඲࡚ࡢ࣮ࣜࣞࢩࢫࢸ࣒ࡢ᪂タࡸ᭦᪂ࢆ㋃ࡲ࠼㸪࣐࢖ࢡࣟἼ↓⥺ᖏᇦቑᙉ࡟せࡍࡿ⥲ࢥࢫࢺࡀ᭱ᑠ࡜࡞ࡿఏ㏦⤒㊰ࢆタィࡍࡿᡭἲࢆᥦ᱌ࡍࡿࠋࡲࡓ㸪ᐇつᶍࡢ㏻ಙ⥙ࢆᑐ㇟࡜ࡋࡓホ౯ࢆ⾜࠺ࠋ୺࡞ᡂᯝ ↓⥺ᖏᇦቑᙉ࡟せࡍࡿ⥲ࢥࢫࢺࡀ᭱ᑠ࡜࡞ࡿ ,3 ࣮ࣜࣞ᝟ሗࡢఏ㏦⤒㊰タィᡭἲࡢᥦ᱌⤒㊰タィၥ㢟ࢆ㸪࣐࢖ࢡࣟἼ↓⥺ᖏᇦቑᙉ࡟せࡍࡿ⥲ࢥࢫࢺࢆ┠ⓗ㛵ᩘ࡜ࡍࡿᩘ⌮᭱㐺໬ၥ㢟࡜ࡋ࡚ᐃᘧ໬ࡋ㸪⥲ࢥࢫࢺࡀ᭱ᑠ࡜࡞ࡿቑᙉ༊㛫 2)࠾ࡼࡧ IP ࣮ࣜࣞ᝟ሗࡢఏ㏦⤒㊰ࢆồࡵࡿᡭἲࢆᥦ᱌ࡋࡓ㸦ᅗ 1 (a), (b) 㸧ࠋᥦ᱌ᡭἲࡣ௨ୗࡢ≉ᚩࢆ᭷ࡍࡿࠋ࣭ ኚ㟁ᡤ/୰⥅ᡤ࡜ࡑࢀࡽࢆ⧅ࡄ࣐࢖ࢡࣟἼ↓⥺㏻ಙ⥙࡟ᑐࡋ㸪ᖏᇦࡢ✵ࡁᐜ㔞࡜㏦㟁⥺ࡢᑐྥࡢኚ㟁ᡤࡢ⤌㸪༊㛫ࡢቑᙉྍྰࡸቑᙉྍ⬟㔞ࢆ୚࠼ࡿࡇ࡜࡟ࡼࡾ㸪⥲ࢥࢫࢺࡀ᭱ᑠ࡜࡞ࡿቑᙉ༊㛫࡜ IP ࣮ࣜࣞ᝟ሗࡢఏ㏦⤒㊰ࢆồࡵࡿࡇ࡜ࡀ࡛ࡁࡿࠋ࣭ ⤒⏤ࡍࡿ୰⥅⟠ᡤࡀ 4 ୰⥅௨ෆ㸪ᑐྥࡢኚ㟁ᡤ㛫ࡢ 2 ⤒㊰ࡀྠ୍୰⥅⟠ᡤࢆ⤒⏤ࡋ࡞࠸࡜࠸ࡗࡓ㸪᪤Ꮡࡢ࣮ࣜࣞ᝟ሗ࡟࠾ࡅࡿఏ㏦⤒㊰タィࡢせồࢆไ⣙ᘧ࡜ࡋ࡚ຍ࠼㸪ࡇࢀࡽࢆ‶㊊ࡍࡿ IP ࣮ࣜࣞ᝟ሗࡢఏ㏦⤒㊰ࡢᑟฟࡀྍ⬟࡛࠶ࡿࠋ ᐇつᶍࡢ࣐࢖ࢡࣟἼ↓⥺㏻ಙ⥙ࢆᑐ㇟࡜ࡋࡓホ౯1010 ࡢྜィ 100 ⟠ᡤࡢኚ㟁ᡤ/୰⥅ᡤ࠿ࡽ࡞ࡿ᱁Ꮚ≧ࡢᐇつᶍ࣐࢖ࢡࣟἼ↓⥺㏻ಙ⥙࡟ᑐࡋ㸪஘ᩘࢆ⏝࠸࡚ 141 ࡢᑐྥࡍࡿኚ㟁ᡤࡢ⤌㸦141 ᮏࡢ㏦㟁⥺ࡢᑐྥኚ㟁ᡤ㸧ࢆタᐃࡋࡓࠋᥦ᱌ᡭἲ࡜㸪ఏ㏦⤒㊰ࡢタィࢆ㏲ḟ⾜࠺ᡭἲࢆᶍᨃࡋࡓ㈎ḧἲ 3)㸦ᅗ 1 (a), (c), (d) 㸧ࢆ⏝࠸࡚㸪࣐࢖ࢡࣟἼ↓⥺ᖏᇦࡢᡤせቑᙉ༊㛫ᩘࢆồࡵࡓ㸦ᅗ 2㸧ࠋึᮇࡢ↓⥺ᖏᇦࡢ✵ࡁᐜ㔞ࢆኚ໬ࡉࡏ࡚ィ⟬ࡋࡓ⤖ᯝ㸪࠸ࡎࢀࡢሙྜ࡛ࡶᥦ᱌ᡭἲࡣ㈎ḧἲࡼࡾࡶᑡ࡞࠸ቑ

©CRIEPI81ᙉ༊㛫ᩘ࡛඲࡚ࡢ IP ࣮ࣜࣞ᝟ሗࢆ཰ᐜྍ⬟࡛࠶ࡗࡓࠋᥦ᱌ᡭἲ࡟ࡼࡾᚓࡽࢀࡿィ⟬⤖ᯝࡣ㸪⥲ࢥࢫࢺࢆపῶࡋࡓ࣐࢖ࢡࣟἼ↓⥺㏻ಙ⥙ࡢᵓ⠏ィ⏬❧᱌࡟ά⏝࡛ࡁࡿࠋὀ 1) IPࣃࢣࢵࢺࡲࡓࡣ Ethernetࣇ࣮࣒ࣞ࡟཰ᐜࡋ࡚㏦ಙࡍࡿࡓࡵ㸪㏻ಙ㔞ࡀቑ኱ࡍࡿࠋ⌧≧ࡢ࣮ࣜࣞ᝟ሗࡣ㸪1.5 Mbps࡟ 7ࢩࢫࢸ࣒ศ཰
ᐜࡉࢀ࡚࠸ࡿࡢ࡟ᑐࡋ㸪IP ࣮ࣜࣞ᝟ሗࡢ཰ᐜྍ⬟ᩘࡣ㸪㐜ᘏ᫬㛫ࡢせồ࠿ࡽ㸪 6.3 Mbps ࡟ 6 ࢩࢫࢸ࣒ศࡀୖ㝈࡛࠶ࡿࠋᑠஂಖ௚ࠕIP ಖㆤ࣮ࣜࣞ᝟ሗࡢ࣐࢖ࢡࣟἼ↓⥺ᅇ⥺࡬ࡢ཰ᐜ᪉ᘧࡢ㛤Ⓨ -୰⥅᫬ࡢఏ㏦㐜ᘏ᫬㛫పῶᡭἲࡢᥦ᱌࡜ホ౯-ࠖ 㟁ຊ୰ኸ◊✲ᡤሗ࿌㸪R18005㸪20202㸧ࡇࡇ࡛ࡣ㸪ᑐྥࡍࡿ 2 ྎࡢ࣐࢖ࢡࣟἼ↓⥺⿦⨨࠿ࡽ࡞ࡿఏ㏦㊰ࢆ༊㛫࡜࿧ࡪࠋᖏᇦࢆቑᙉࡍࡿሙྜ㸪↓⥺ᶵࡢ௙ᵝ࡟ᛂࡌࡓቑᙉ㔞࡜࡞ࡿࠋ
㸦6.3 MbpsЍ13 Mbps ࡸ 6.3 MbpsЍ52 Mbps ࡞࡝㸧3㸧࣮ࣜࣞࡢ᭦᪂࡟ᛂࡌ࡚ఏ㏦⤒㊰ࡢタィࢆ㏲ḟ⾜࠸㸪࣐࢖ࢡࣟἼ↓⥺ᖏᇦ࡟✵ࡁᐜ㔞ࡀ୙㊊ࡋ࡚࠾ࡾ཰ᐜ࡛ࡁ࡞࠸ሙྜ࡟ࡣࡑࡢ㒔ᗘ㸪᭱ᑠࢥࢫࢺࡢ࣐࢖ࢡࣟἼ↓⥺ᖏᇦࡢቑᙉ༊㛫ࢆồࡵࡿᡭἲ

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©CRIEPI82᥮Ẽ㔞ࡢቑຍࡀ࢚࢔ࢥࣥ෭ᬮᡣ㐠㌿᫬ࡢᐊෆ ⇕⎔ቃ࡜࢚࢔ࢥࣥࡢᾘ㈝㟁ຊ࡟୚࠼ࡿᙳ㡪ࡢホ౯Ᏻ⏣ ᪼ᖹ㸨ᐑỌ ಇஅ㸨ୖ㔝 ๛㸨ᒾᯇ ಇဢ㸨

Key Words㸸Air Conditioner
Ventilation
Electric Power Consumption
Indoor Thermal Environment
Simulation࣮࣮࢟࣡ࢻ㸸࢚࢔ࢥࣥ᥮Ẽ
ᾘ㈝㟁ຊᐊෆ ⇕⎔ቃ
ࢩ࣑࣮ࣗࣞࢩࣙࣥ

Evaluation of the Effect of Increased Ventilation Volume on Indoor Thermal
Environment and Air Conditioning Power Consumption
during Heating and Cooling Operations
Shohei Yasuda, Tsuyoshi Ueno,
Toshiya Iwamatsu and Toshiyuki Miyanaga

Abstract
Proper ventilation with window openings and exhaust fans is recommended as one measure to prevent infection. However,
the general public may not be able to provide adequate ventilation due to concerns about the deterioration of the indoor thermal
environment and the increased power consumption of air conditioners caused by ventilation. Therefore, the indoor thermal
environment and air conditioner power consumption for various ventilation volumes are estimated using the indoor thermal
environment design tool of CADIEE. First, the validity of CADIEE under conditions of increased ventilation is verified.
Comparing the measured air conditioner power consumption to the CADIEE of calculation, the average relative error is 20.3%,
indicating that CADIEE is valid as a calculation method. Next, we performed calculations for the LDK room of a standard
single-family home. The results show that air conditioning power consumption increased by about 10% for cooling and 20%
for heating under ventilation conditions of 220.3[m3/h] and by about 30% for cooling and 60% for heating under ventilation
conditions of 440.7[m3/h]. The indoor thermal environment was maintained at the set temperature regardless of ventilation
conditions.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ୺௵◊✲ဨ
*2ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ୖᖍ◊✲ဨ*3 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ๪◊✲ཧ஦ ๪㒊㛛㛗 ศ㔝⤫ᣓ

©CRIEPI83⫼  ᬒឤᰁ⑕ᑐ⟇ࡢ୍ࡘ࡜ࡋ࡚ࠊ❆㛤ࡅࡸ᥮Ẽᡪ➼ࢆ฼⏝ࡋࡓ㐺ษ࡞᥮Ẽࡀ᥎ዡࡉࢀ࡚࠸ࡿࠋ
ࡋ࠿ࡋࠊ୍⯡ᾘ㈝⪅ࡣ᥮Ẽ࡟ࡼࡿᐊෆ ⇕⎔ቃࡢᝏ໬ࡸ࢚࢔ࢥࣥᾘ㈝㟁ຊࡢቑຍࢆᠱᛕ
ࡋࠊ༑ศ࡞᥮Ẽࢆ⾜ࢃ࡞࠸ྍ⬟ᛶࡀ࠶ࡿࠋ㐺ษ࡞᥮Ẽ࡜࢚࢔ࢥࣥ࡟ࡼࡿⰋዲ࡞ ⇕⎔ቃࡢ⥔ᣢࡢ୧❧ࢆᅗࡿࡓࡵ࡟ࡣࠊ᥮Ẽ㔞ࡀᐊෆ ⇕⎔ቃ࡜࢚࢔ࢥࣥᾘ㈝㟁ຊ࡬ཬࡰࡍᙳ㡪ࢆ㐺ษ࡞ィ⟬ᡭἲࢆ⏝࠸࡚ᐃ㔞ホ౯ࡍࡿࡇ࡜ࡀ㔜せ࡛࠶ࡿࠋ┠  ⓗ᥮Ẽ㔞ࡀᐊෆ ⇕⎔ቃ࡜࢚࢔ࢥࣥᾘ㈝㟁ຊ࡬ཬࡰࡍᙳ㡪ࢆᙜᡤ㛤Ⓨࡢᐊෆ ⇕⎔ቃタィࢶ࣮ࣝ CADIEE ὀ 1)࡛ィ⟬ࡋࠊᐇ ᑐẚ࡟ࡼࡾ CADIEE ࡢጇᙜᛶࢆ᳨ドࡍࡿࠋࡉࡽ࡟ࠊ
ᡞᘓ࡚ఫᏯࢆᑐ㇟࡟ࠊ᥮Ẽ㔞ࡀ␗࡞ࡿሙྜࡢᐊෆ ⇕⎔ቃ࡜࢚࢔ࢥࣥᾘ㈝㟁ຊࢆヨ⟬ࡍ
ࡿࠋ

୺࡞ᡂᯝ
 ᐇ ᑐẚ࡟ࡼࡿ &$',(( ࡢጇᙜᛶࡢ᳨ドヨ㦂⏝ఫᏯ㸦ᅗ 1㸧ὀ 2)ࢆᑐ㇟࡟ࠊ᥮Ẽ㔞ὀ 3)ࢆኚ࠼ࡓሙྜࡢ࢚࢔ࢥࣥ෭ᬮᡣ㐠㌿᫬ࡢ࢚࢔ࢥࣥᾘ㈝㟁ຊࡢᐇ ್ࢆ CADIEE ࡟ࡼࡿィ⟬್࡜ẚ㍑ࡋࡓࠋࡑࡢ⤖ᯝࠊ࢚࢔ࢥࣥᾘ㈝㟁ຊࡢᖹᆒ┦ᑐㄗᕪࡣ 20.3%㸦ᅗ 2㸧࡜࡞ࡾࠊᴫࡡ୍⮴ࡋࡓࠋࡇࢀ࡟ࡼࡾࠊCADIEE ࡀィ⟬ᡭἲ࡜ࡋ࡚ጇᙜࡔ࡜ุ᩿ࡋࡓࠋ ᥮Ẽ㔞ࡀ␗࡞ࡿሙྜࡢᐊෆ ⇕⎔ቃ࡜࢚࢔ࢥࣥᾘ㈝㟁ຊࡢヨ⟬ᶆ‽ⓗ࡞ᡞᘓ࡚ఫᏯὀ 4)ࡢᒃ㛫࣭㣗ᇽ࣭ྎᡤࢆᑐ㇟࡟ࠊCADIEE ࡟ࡼࡿヨ⟬ࢆ⾜ࡗࡓ㸦ᅗ 3㸧ࠋ᥮Ẽ᮲௳࡟ࡘ࠸࡚ࡣࠊྎᡤࡢ᥮Ẽᡪ฼⏝ࢆ᝿ᐃࡋࡓ 3 ࢣ࣮ࢫ࡜ࡋࡓὀ 5)ࠋࡇࡢ⤖ᯝࠊ࢚࢔ࢥࣥࡢᾘ㈝㟁ຊ㔞ࡣࠊ᥮Ẽ࡟ࡼࡿ✵ㄪ㈇Ⲵࡢቑຍ࡟క࠸ୖ᪼ࡋࠊ᥮Ẽ㔞
220.3[m3/h]࡛ࡣ෭ᡣ 1 ๭࣭ᬮᡣ 2 ๭⛬ᗘࡢቑຍࠊ᥮Ẽ㔞 440.7[m3/h]࡛ࡣ෭ᡣ 3 ๭࣭ᬮᡣ 6 ๭⛬ᗘࡢቑຍ࡜࡞ࡗࡓ㸦ᅗ 4㸧ࠋ୍᪉࡛ࠊᐊෆ ⇕⎔ቃࡣ᥮Ẽ㔞࡟㛵ࢃࡽࡎタᐃ ᗘ࡟⥔ᣢࡉࢀࡓ㸦⾲ 1㸧ࠋ௒ᅇࡢヨ⟬᮲௳ࡣ᥮Ẽ㔞 220.3[m3/h]࡛ཌ⏕ປാ┬ࡀ᥎ዡࡋ࡚࠸ࡿᚲせ᥮Ẽ㔞ὀ 6)ࢆ‶ࡓࡋ࡚࠸ࡿࡇ࡜࠿ࡽࠊୖグ⛬ᗘࡢᾘ㈝㟁ຊ㔞ࡢቑຍ࡛ᐊෆ ⇕⎔ቃࢆ࢚࢔ࢥࣥࡢタᐃ ᗘ࡟⥔ᣢ࡛ࡁࡿࡇ࡜ࡀ♧၀ࡉࢀࡓࠋὀ 1) ᙜᡤ㛤Ⓨࡢከᩘᐊࢆᑐ㇟࡜ࡍࡿ⇕ᅇ㊰㸦㉁Ⅼ㸧ィ⟬ࣉࣟࢢ࣒ࣛࠋᖺ㛫⇕㈇Ⲵィ⟬ࡢᅜ஺኱⮧ㄆᐃ㸦2009㸧ࠋὀ 2) ᙜᡤ㉥ᇛヨ㦂ࢭࣥࢱ࣮ෆࡢ⎔ቃヨ㦂ᐊෆ࡟ࡣ᩿⇕ᛶ⬟ࡀ␗࡞ࡿᖹᒇᘓ࡚ఫᏯࡀᘓタࡉࢀ࡚࠾ࡾࠊᮏ◊✲࡛ࡣᪧ┬࢚ࢿᇶ‽ఫᏯ࡜ḟୡ௦┬࢚ࢿᇶ‽ఫᏯࡢ 2 Ჷࢆ⏝࠸ࡓࠋὀ 3) ᥮Ẽ㔞ࡣ᤼Ẽഃ࡟タᐃࡋࡓࣇ࢓ࣥࡢ㢼㔞タᐃ㸦3 ẁ㝵㸸೵Ṇ㸭ᙅタᐃ㸭ᙉタᐃ㸧࡛ㄪᩚࢆ⾜࠺ࠋὀ 4) ฟ඾: ᅜᅵ஺㏻┬ᅜኈᢏ⾡ᨻ⟇⥲ྜ◊✲ᡤ࣭ᘓ⠏◊✲ᡤ┘ಟ ᖹᡂ 25 ᖺ┬࢚ࢿࣝࢠ࣮ᇶ‽࡟‽ᣐࡋࡓ⟬ᐃุ࣭᩿ࡢ᪉
ἲཬࡧゎㄝ ϩఫᏯ. p612. (2013)ὀ 5) ᪧ┬࢚ࢿᇶ‽ఫᏯࡢ⮬↛᥮Ẽ㔞┦ᙜࡢ᥮Ẽ㔞 110.2[m3/h](1.5[ᅇ/h])ࢆᇶ‽࡟ࠊேࡀᒃ㛫࣭㣗ᇽ࣭ྎᡤ࡟⁫ᅾࡍࡿ㛫ࡣྎᡤࡢ᥮Ẽᡪ฼⏝ࢆ᝿ᐃࡋࠊᙅタᐃ 220.3[m3/h] (3.0[ᅇ/h])㸪ᙉタᐃ 440.7[m3/h] (6.0[ᅇ/h])ࡢ᥮Ẽ㔞࡜ࡋࡓࠋὀ 6) ᶵᲔ᥮Ẽ㸸1 ே࠶ࡓࡾ 30[m3/h]㸪❆㛤ࡅ᥮Ẽ㸸1 ᫬㛫࡟ 2 ᅇ௨ୖ©CRIEPI84ᅗ ヨ㦂⏝ఫᏯࡢᖹ㠃ᅗᅗ ࢚࢔ࢥࣥᾘ㈝㟁ຊࡢᐇ ್࡜ィ⟬್ࡢẚ㍑
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©CRIEPI85ఫᏯࡢ࢚ࢿࣝࢠ࣮࡟㛵ࡍࡿࣞࢪ࢚ࣜࣥࢫᛶྥୖࡢࡓࡵࡢㄪᰝ
㸫⮬↛⅏ᐖ࡟ࡼࡿ㛗ᮇ೵㟁᫬ࡢᅔࡾࡈ࡜ࡢᢕᥱ㸫Ᏻᒸ ⤢Ꮚ㸨

ྥ஭ Ⓩᚿᗈ㸨ୖ㔝 ๛㸨ᐑỌ ಇஅ㸨

Key Words㸸Resilience of homes
Long-term power outage
Problem
Questionnaire
Interview࣮࣮࢟࣡ࢻ㸸ఫᏯࣞࢪ࢚ࣜࣥࢫᛶ
㛗ᮇ೵㟁
ᅔࡾࡈ࡜
࢔ࣥࢣ࣮ࢺ
࢖ࣥࢱࣅ࣮ࣗ

Research to improve the energy resilience of homes-Troubles during long-term power outages due to natural disastersAyako Yasuoka, Toshihiro Mukai, Tsuyoshi Ueno and Toshiyuki Miyanaga

Abstract
As the electrification rate is expected to increase toward carbon neutrality, it is necessary to improve the energy resilienceof homes, taking into account the risk of power outages due to natural disasters. In order to achieve this, it is essential tounderstand the actual conditions, such as problems that occur during power outages and changes in awareness due to power
outages.
So we conducted the questionnaire and interview. The main results are as follows: Subjects (38 interviewees and 574
questionnaires) who experienced long-term power outages due to disasters (earthquakes, typhoons, snow damage) were asked
their problems in the long-term power outages. Most of the subjects chose refrigerators/freezers, lighting, hot water supply
etc. The reason for the selection of problems was the damage to foodstuffs in refrigerators and freezers, and health concerns
such as heat stroke in air conditioners. On the other hand, the responses on equipment indicated that, from the standpoint of
cost-effectiveness, equipment that can be used not only during emergencies but also during normal times and that can ensuresufficient rated output during power outages is desired. In addition, it was shown that it is important to provide information
on home appliances and power supply equipment and their use according to each household's lifestyle.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ୺௵◊✲ဨ*2 ♫఍⤒῭◊✲ᡤ ୺௵◊✲ဨ*3 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ୖᖍ◊✲ဨ*4 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ๪㒊㛛㛗 ๪◊✲ཧ஦©CRIEPI86⫼ᬒ࣮࢝࣎ࣥࢽ࣮ࣗࢺࣛࣝᐇ⌧࡟ྥࡅ㟁໬⋡ୖ᪼ࡀぢ㎸ࡲࢀࡿ୰ࠊ⮬↛⅏ᐖ࡟ࡼࡿ೵㟁ࣜࢫࢡࢆ⪃៖ࡋࡓఫᏯࡢ࢚ࢿࣝࢠ࣮࡟㛵ࡍࡿࣞࢪ࢚ࣜࣥࢫᛶྥୖࡀᚲせ࡛࠶ࡿࠋࡇࡢࡓࡵ
࡟ࡣࠊ೵㟁᫬ࡢᅔࡾࡈ࡜ࡸ೵㟁࡟ࡼࡿព㆑ኚ໬࡜࠸ࡗࡓᐇែᢕᥱࡀ୙ྍḞ࡛࠶ࡿࠋࡋ࠿
ࡋࠊ⿕⅏≧ἣࡀ␗࡞ࡿᵝࠎ࡞⅏ᐖ✀ู࡟ᑐࡋࠊᗈ⠊ᅖࢆㄪᰝࡋࡓ౛ࡣぢᙜࡓࡽ࡞࠸ࠋ┠  ⓗ┤㏆ 6 ᖺ௨ෆࡢ኱つᶍ࡞⮬↛⅏ᐖὀ 1)࡟ࡼࡿ㛗ᮇ೵㟁⤒㦂⪅ὀ 2)ࢆᑐ㇟࡟ࠊWeb ࢔ࣥࢣ࣮ࢺ࡜࢖ࣥࢱࣅ࣮ࣗࢆ⾜࠸ࠊ㛗ᮇ೵㟁᫬ࡢᅔࡾࡈ࡜ࡸࠊࣞࢪ࢚ࣜࣥࢫᛶ࡟㛵ࢃࡿタഛὀ 3)࡟
ᑐࡍࡿព㆑➼ࢆㄪᰝࡋࠊ⌧≧ࡢㄢ㢟ࢆᩚ⌮ࡍࡿࠋ୺࡞ᡂᯝ 㛗ᮇ೵㟁᫬ࡢᅔࡾࡈ࡜ㄪᰝ
㸸඲⅏ᐖ✀ู࡟࠾࠸࡚ࠊ෭ⶶᗜ࣭෭෾ᗜ࡟㛵ࡍࡿᅔࡾࡈ
a) ࢔ࣥࢣ࣮ࢺㄪᰝ⤖ᯝ㸦574 ྡ㸧࡜ࡀ᭱ࡶከࡃࠊ↷᫂ࠊ⤥‫ୖࡀ➼࢜ࢪ࣭ࣛࣅࣞࢸࠊ‮‬఩࡟୪ࢇࡔࠋࡲࡓࠊྎ㢼᫬࡟࢚࢔ࢥ
ࣥࢆᅔࡾࡈ࡜࡜ࡍࡿᅇ⟅ࡀᆅ㟈࡟ẚ࡭࡚ከ࠿ࡗࡓࡀࠊࡇࡢせᅉ࡜ࡋ࡚ࠊ⅏ᐖࡀⓎ⏕ࡋࡓᆅᇦ㸦ᐮ෭ᆅ࡜ ᬮᆅ㸧ࡸ᫬ᮇ㸦ኟᮇ࡜୰㛫ᮇ㸧ࡢ㐪࠸ࡀᙳ㡪ࡋࡓ࡜᥎ᐹࡉࢀࡿ㸦ᅗ 1㸧ࠋb) ࢖ࣥࢱࣅ࣮ࣗㄪᰝ⤖ᯝ㸦38 ྡ㸧㸸୺࡞ᅔࡾࡈ࡜࡜ࡑࡢ㑅ᢥ⌮⏤ࡢᅇ⟅ࢆᩚ⌮ࡋࡓ㸦⾲1㸧ࠋ㑅ᢥ⌮⏤࡜ࡋ࡚ࠊ෭ⶶᗜ࣭෭෾ᗜࡣ㣗ᮦࡢയࡳࠊ࢚࢔ࢥࣥࡣ⇕୰⑕➼ࡢ೺ᗣ୙Ᏻࡀ
ᣲࡆࡽࢀࡓࠋࡲࡓࠊ࢚ࢥ࣮࢟ࣗࢺ࠿ࡽ࠾‫ࡾྲྀࢆ‮‬ฟࡋࡓ౛ࡀ࠶ࡗࡓ୍᪉࡛ࠊྲྀࡾฟࡏࡿ
ࡇ࡜ࢆ▱ࡽࡎࠊ᝟ሗ୙㊊࡟ࡼࡾタഛࢆά⏝࡛ࡁ࡚࠸࡞࠸ሙྜࡶ࠶ࡗࡓࠋ
㸬ᅔࡾࡈ࡜ࡢᩚ⌮࡜௒ᚋࡢㄢ㢟ㄪᰝ⤖ᯝ࡟ᇶ࡙ࡁࠊᅔࡾࡈ࡜ࢆࠕ୙ᛌࠖ
ࠊࠕ୙Ᏻࠖࠊࠕ୙౽ࠖࡢ 3 ࡘ࡟ศ㢮ࡋࠊᐙ㟁ᶵჾ➼࡜ࡢ㛵㐃ᛶࢆᩚ⌮ࡋࡓ㸦ᅗ 2㸧
ࠋࡲࡓࠊタഛ࡟㛵ࡍࡿᅇ⟅⤖ᯝ࠿ࡽࠊᅗ 2 ࡟♧ࡋࡓᐙ㟁ᶵჾࢆ೵㟁᫬࡟ࡶά⏝࡛ࡁࡿࡇ࡜ࡸࠊ೵㟁᫬࡟ᚲせ࡞⤥㟁タഛ㸦⵳㟁ụࡸⓎ㟁ᶵ㸧ࡀᮃࡲࢀ࡚࠸ࡿࡇ࡜ࡀ♧ࡉࢀࡓࠋࡋ࠿ࡋࠊ⤥㟁タഛࢆ㉎ධࡍࡿ࠿ྰ࠿ࡣࠊ㈝⏝ᑐຠᯝࢆ㔜どࡋ࡚࠸ࡿࡇ࡜ࡶ᫂ࡽ࠿࡜࡞ࡗࡓࠋࡉࡽ࡟ࠊྛᐙᗞࡢࣛ࢖ࣇࢫࢱ࢖ࣝ࡟ᛂࡌࡓᐙ㟁ᶵჾࡸ⤥㟁タഛࠊࡑࢀࡽࡢ฼⏝࡟㛵ࡍࡿ᝟ሗᥦ౪ࡀ㔜せ࡛࠶ࡿࡇ࡜ࡀ♧ࡉࢀࡓࠋ௒ᚋࡢᒎ㛤ᘬࡁ⥆ࡁࠊᅔࡾࡈ࡜ࡸタഛᶵჾࡢㄪᰝࢆ⾜࠸ࠊ೵㟁᫬ࡢᅔࡾࡈ࡜ࡢゎᾘ࡟ᚲせ࡞᝟ሗᥦ౪ࡢ࠶ࡾ᪉ࡸࠊ⤥㟁タഛࢆྵࡵࡓఫᏯࡢࣞࢪ࢚ࣜࣥࢫᛶࢆホ౯ࡍࡿᡭἲࢆ᳨ウࡍࡿࠋὀ 1) ᆅ㟈 : ⇃ᮏᆅ㟈(2016.4)࣭໭ᾏ㐨⫹᣺ᮾ㒊ᆅ㟈(2018.9)㸭ྎ㢼 : ྎ㢼 21 ྕ࣭24 ྕ(2018.9)࣭ྎ㢼 15 ྕ࣭19 ྕ㸦2019.9࣭10㸧㞷ᐖ : ᪂₲㞷ᐖ(2020.12)ࠊ໭㝣㞷ᐖ࣭⛅⏣㞷ᐖ(2021.1)ࠊࡑࡢ௚㞷ᐖ㸦6 ᖺ௨ෆ㸧㞷ᐖ࢖ࣥࢱࣅ࣮ࣗࡣ⛅⏣㞷ᐖࡢࡳὀ 2) 24 ᫬㛫௨ୖ㸦୍㒊 12 ᫬㛫௨ୖ㸧ࡢ㛗ᮇ೵㟁⤒㦂⪅࡜ࡋࠊ࣮࢜ࣝ㟁໬ఫᏯ࡜㟁Ẽ࢞ࢫే⏝ఫᏯࢆྠ⛬ᗘ࡜ࡋࡓࠋ
ὀ 3) ኴ㝧ගࣃࢿࣝⓎ㟁ࠊ⵳㟁ụࠊⓎ㟁ᶵࠊ㟁Ẽ⮬ື㌴➼ࠊ࣮࢜ࣝ㟁໬ఫᏯࡢព㆑➼࡟ࡘ࠸࡚ᅇ⟅ࢆᚓࡓࠋ©CRIEPI87ᅗ ࢔ࣥࢣ࣮ࢺㄪᰝ࠿ࡽᚓࡽࢀࡓ⅏ᐖ࡟ࡼࡿ㛗ᮇ೵㟁᫬ࡢᅔࡾࡈ࡜㸦ྛᑐ㇟⪅ࡢ 㹼 ఩ࡢ㑅ᢥ⤖ᯝ㸧
⾲
൑ॉओध
ध
ഐ୉ಛ
ഐ๋ಛ
ஔจ
োຉ

ग़॔॥থ
‫ق‬ഐඬ‫ك‬࢖ࣥࢱࣅ࣮ࣗㄪᰝ࠿ࡽᚓࡽࢀࡓᅔࡾࡈ࡜ࡢ㑅ᢥ⌮⏤㸦୍㒊ᢤ⢋㸧৭උखञ৶૓

ৌ૪্১जजभ౎ਔৄृੲਾ
౎ਔৄृੲਾ

୫౫ऋംि‫ط‬ഐ๋ષऋྃऐॊ ംाृघःुभऊै଎ા‫ط‬ॡ‫ش‬ছ‫ش‬঎ॵॡ५ष୎৿

ྂ૷ႝ ঩রम39ऊैஔਗ਼‫؞‬ം॒दःऎ୫ષ॑ৄॊभम๩खऎ‫ؚ‬ಖઋ৓पၞऊढञ‫ ؞‬ৌ૪दऌङఀಣखञ

ఀಣभ૑ਏ
उ௯໶॑ᅋऊचऩः ਷३কড‫طش‬શदᅋऊखञจ॑਷ध೴छथষ਷‫ຸ؞‬྾३কড‫ش‬दऌऩः ग़॥य़গ‫ॺش‬ऊैउจ॑਄ॉলखथ३কড‫ش‬‫ຸ؞‬྾दऌऩः

೿ਗ਼ऩभदઞइऩःधઓढथःञ‫ ؞‬োຉचङपੋऽचञ

ဂऔ‫ق‬णैः‫؞‬ॖছॖছ‫ك‬ अठॎ‫ط‬ษ॑৫ऐॊ‫ط‬സ॑ା౹इॊ

࿨ऩनभਂ඿૎ ੤রदग़॔॥থਹ৷‫ط‬ঽ୧ਗभ઱ਝऩनषলෳऐथჳि

‫؞‬ਨਲ੊दम౳ਆ‫ైؚ‬ච‫ؚ‬ఝઁऩनभဂःਚम

๻ౙखः‫ؚ‬๻હऐऩः

 39ृ86%ౄਗ਼दႍ௯ਃ

೸রඪਂ਍‫ق‬ৈೡ঻‫ؚ‬໚໽ు‫؞‬ঌॵॺ‫ك‬ ৅ਗ਼ਃदग़॔॥থ‫ق‬ओऎ঳৖‫ك‬཮ඬजोਰਗमऩःੇऋ੗ः‫ق‬ਨਲ੊‫ك‬཮ඬधಡ৷दઞइॊभदභোखञ‫ق‬ਨਲ੊‫ك‬ ખೝૄ‫ؚ‬ቤ‫ؚ‬ढ़७ॵॺफ़५५ॺ‫ش‬ঈ‫ق‬ਗ਼ਞశઞ৷ஓ఻‫ك‬໬ः‫ق‬णैः‫ك‬௏೨ਂ਍‫୵ؚ‬भ஠૫‫્ق‬प໬ഐ৉‫ك‬ग़॔॥থ॑હऐथःॊযऋ੗ःऋ‫ؚ‬‫؞‬৉൜भႃऊैফ‫ر‬ಒमਞആऋ঱ಊख‫ؚ‬‫ ؞‬ৌ૪दऌङगढधິइञ
ग़॔॥থ౎‫؞‬ग़॥य़গ‫ॺش‬ऊैउจ॑লघधःअ৅୳ऋऩऎ‫ؚ‬ জঅথॢपૐऽॉ‫ؚ‬फ़५दจ॑ᅋऊख৖ો॑཮ीॊ

‫෈؞‬दँोय൑ढञटौअ‫ ؞‬ਠ૾मग़॔॥থखऊऩऎ‫ؚ‬ৌ૪दऌऩः

५ঐ঍भౄਗ਼ऋજोञ ঔংॖঝংॵॸজ‫طش‬੤‫ق‬३फ़‫ش‬९ॣॵॺ‫ك‬दౄਗ਼ౄਗ਼ౄਗ਼ऋજोजअ ೂ୔ਚृৢਗ਼৉ୠपँॊඐਜ੔ऩनदౄਗ਼

‫ق‬઎௯‫؞‬৉൜भৌ଴঻‫ك‬‫ূ؞‬঩মপ൜಼ಉऊैभઇธद
ঔংॖঝংॵॸজ‫ش‬मභোखथःञ

୫হृোຉभ਑଒‫ؚ‬೸রඪृ໬औऩन
௏೨ृ඿ిਙऋ௤ऩॎोॊਂ඿૎

ਂ඿

ဂऔ໬औ
೸রඪऩनभ௏೨ਂ਍
ஔจਃऋઞइऩः
঱ৣ਷੊ऋઞइऩः
஬ၷऔ॑৳थऩः

৹৶ঢ়બ
,+॥থট
ਗ਼৕ঞথ४ಉ
৹৶ऋदऌऩः
ഐ୉ಛभ୫౫॑ઞइऩः

ग़॔॥থ‫ق‬ഐඬ‫ك‬

൑ॉ২ऋ
ৼৌ৓प
ৈःुभ

ग़॔॥থಉ
‫཮ق‬ඬ‫ك‬
ྂ૷

োຉ
ॺॖঞ
ຸᅲਃ

ഐ୉ಛ ఀಣभ૑ਏਙഐ๋ಛ ಖઋ৓଀૿
ස৥ஓ఻ઌढพद஠૫‫؞‬ཋः૾யཔ඼ऋदऌऩः

஬ၷ૎ऋ৳थऩः
५ঐ঍ুຸःभু৑ऋੜइॊ भౄਗ਼79‫؞‬ছ४ड़
ॿॵॺ৚଍ੲਾઽૐृ৴൪भ
ু஺ऋಥബइॊ

ਂ೶঩ଞেણभਹ೶ਙऋ௤ऩॎोॊਂ೶औ

ਫનऩੲਾ॑੭ैोऩः

ਂ਍૑ਏऩੲਾऋ੭ैोङ਍৸ਙऋ௤ऩॎोॊਂ਍૎ᅗ  ᅔࡾࡈ࡜ࡢ  ศ㢮

©CRIEPI88㟁Ẽ⮬ື㌴ࡢ⇕⟶⌮ࢩࢫࢸ࣒࡟㛵ࡍࡿ◊✲㛤Ⓨ㸫⇕⟶⌮ࢩࢫࢸ࣒ࡢࢥࣥࢭࣉࢺࣔࢹࣝࡢᥦ᱌㸫ᙇ Ⳁ㸨

Key Words㸸Electric vehicle
Thermal management system
Air-conditioning
Battery
Heat pump࣮࣮࢟࣡ࢻ㸸㟁Ẽ⮬ື㌴⇕⟶⌮ࢩࢫࢸ࣒
✵ㄪࣂࢵࢸࣜࣄ࣮ࢺ࣏ࣥࣉ

Study on thermal management system of electric vehicles- Proposal of a conceptual model of thermal management systemLi Zhang

Abstract
Thermal management system (TMS) is one of the important technologies to keep the comfortability of cabins, ensure thecruising distance of electric vehicles (EVs), increase the safety and lifecycle of batteries, et al.. Generally, the cabin, battery,
motor and invertor of EVs should be adjusted under an appropriate temperature range. In this study, we firstly investigatedcurrent technologies about TMS from open available literatures. Based on these investigation results, issues were extracted andsome kinds of improvement methods were proposed. There are some issues about the cabin heating operation, defogging of
the front glass, battery cooling operation, and so on. Condensate water recovery, heat recovery, desiccant dehumidification andbattery thermal storage methods were proposed in this study. Here, a novel conceptual model of thermal management system
for EVs was proposed, in which the cabin and battery are cooled or heated by the heat pump, motor and invertor are cooled by
the radiator. Furthermore, these proposed improvement methods are also adopted in the conceptual model of the TMS.
Future works will be carried out under the three steps: proposal of a novel TMS; performance analysis of the TMS via
cycle simulation; performance evaluation of the TMS by utilizing the actual driving and charging data of EVs.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ୖᖍ◊✲ဨ

©CRIEPI89⫼  ᬒ▷࠸⯟⥆㊥㞳ࡸ㛗࠸඘㟁᫬㛫࡞࡝ࡢ㟁Ẽ⮬ື㌴㸦EV㸧ࡢㄢ㢟ࡀࠊ኱ᐜ㔞ࣂࢵࢸࣜࡢᦚ
㍕ࡸ㧗ฟຊ඘㟁ჾࡢᩚഛ࡟ࡼࡗ࡚ゎỴ࡟ྥࡅ࡚☜ᐇ࡟㐍ࢇ࡛࠸ࡿࠋࡉࡽ࡟ EVࡢၟရ౯್
ࢆ㧗ࡵࡿࡓࡵ࡟ࠊᚋᅇࡋ࡟ࡉࢀ࡚࠸ࡓ⇕⟶⌮ࡀ㔜せ࡞ᢏ⾡࡜ࡋ࡚఩⨨௜ࡅࡽࢀጞࡵ࡚࠸
ࡿࠋ⇕⟶⌮࡟ࡣࠊࣂࢵࢸࣜࡸࠊ࢖ࣥࣂ࣮ࢱࠊ࣮ࣔࢱ࡞࡝ࢆ᭱㐺࡟ ᗘไᚚࡋࡘࡘࠊᛌ㐺࡞㌴ෆ ⇕⎔ቃࢆᐇ⌧ࡍࡿࠊ┬㟁ຊ࡞⇕⟶⌮ࢩࢫࢸ࣒ࡀᚲせ࡛࠶ࡿࠋ┠  ⓗEV ࡟㛵ࡍࡿ⌧⾜ࡢ⇕⟶⌮ᢏ⾡ࢆㄪᰝࡋࠊㄢ㢟ࢆᢳฟࡍࡿࠋㄢ㢟ゎỴࡢᑐ⟇࡜ࡑࢀࡽࢆ
⤫ྜࡍࡿ┬㟁ຊ࡞⇕⟶⌮ࢩࢫࢸ࣒ࡢࢥࣥࢭࣉࢺࣔࢹࣝࢆᥦ᱌ࡍࡿࠋ୺࡞ᡂᯝ㸬⌧⾜⇕⟶⌮ᢏ⾡ࡢㄢ㢟
EV ࡛ࡣࠊᅗ 1 ࡟♧ࡍከᵝ࡞せᅉࡸ᮲௳࡟ᑐᛂࡋࡓ⇕⟶⌮ࡀồࡵࡽࢀࡿࠋࡇࢀࡽ࡟ᑐࡍ
ࡿ⌧⾜ᢏ⾡ࢆㄪᰝࡢୖࠊᩚ⌮ࡋࡓ㸦⾲ 1㸧ࠋ୺せ࡞ㄢ㢟ࢆ௨ୗ࡟㏙࡭ࡿࠋy ㄢ㢟 1㸸㌴ᐊ෭ᡣ୰ࡢจ⦰ỈࡢⓎ⏕㸦⾲ 1 ࡢ a㸧ࠋy ㄢ㢟 2㸸㌴ᐊᬮᡣࠊ࢞ࣛࢫ㜵᭎࡜ࣂࢵࢸࣜ෭༷࡟ࡼࡿᾘ㈝㟁ຊࡢቑຍ㸦⾲ 1 ࡢ b, d, e㸧ࠋy ㄢ㢟 3㸸ࣄ࣮ࢺ࣏ࣥࣉ㸦HP㸧㝖㟖࡟ࡼࡿ㌴ᐊᬮᡣࡢ୍᫬೵Ṇ㸦⾲ 1 ࡢ c㸧ࠋ㸬⇕⟶⌮ࢩࢫࢸ࣒ࡢࢥࣥࢭࣉࢺࣔࢹࣝ⌧⾜ᢏ⾡ࡢㄢ㢟ゎỴࡢᑐ⟇㸦⾲2㸧࡜ࡑࢀࡽࢆ⤫ྜࡍࡿ┬㟁ຊ࡞⇕⟶⌮ࢩࢫࢸ࣒ࡢࢥࣥ
ࢭࣉࢺࣔࢹࣝ㸦ᅗ 2㸧ࢆᥦ᱌ࡋࡓࠋy ⇕⟶⌮ࢩࢫࢸ࣒ࢆࠕ⇕⟶⌮ᑐ㇟ࠖࠊࠕ⇕⟶⌮ᶵჾࠖ
ࠊࠕ࢚ࢿࣝࢠ࣮※ࠖ࡟ᩚ⌮ࡍࡿࡇ࡜࡛ࠊ㢮ఝ ᗘࡢ⇕※ࡸ⇕ᶵჾࠊ⇕฼⏝ࢆ㞟⣙ࡍࡿࠋy ㌴ᐊ࡜ࣂࢵࢸࣜࡣ᭱㐺 ᗘࡀ㏆࠸ࡓࡵࠊྠ୍ࡢ⇕⟶⌮ᶵჾ㸦HP㸧࡛ ᗘㄪ⠇ࡍࡿࠋy ࢖ࣥࣂ࣮ࢱ࡜࣮ࣔࢱࡣチᐜ ᗘࡀ㏆࠸ࡓࡵࠊྠࡌࣛࢪ࢚࣮ࢱࢆ฼⏝ࡋ࡚෭༷ࡍࡿࠋ
y ㌴ᐊ෭ᡣ୰࡟Ⓨ⏕ࡍࡿจ⦰Ỉࢆά⏝ࡋࡓࣂࢵࢸࣜ෭༷㸦ᅗ 2 ࡢձ㸧ࠊࣂࢵࢸࣜࡸ࢖ࣥ
ࣂ࣮ࢱࠊ࣮ࣔࢱࡢⓎ⇕࡛㌴ᐊᬮᡣ㸦ᅗ 2 ࡢղ㸧ࠊࣂࢵࢸࣜ࡟⵳࠼ࡽࢀࡓ⇕࡛ HP 㝖㟖㸦ᅗ 2 ࡢճ㸧ࠊ྾╔๣࡛Ỉ⵨Ẽࢆ㝖ཤࡋ࢞ࣛࢫ㜵᭎㸦ᅗ 2 ࡢմ㸧ࡢᑐ⟇ࡶྲྀࡾධࢀࡓࠋ

௒ᚋࡢᒎ㛤
⇕⟶⌮ࢩࢫࢸ࣒ࢆᵓ⠏ࡋࡓୖ࡛ࠊィ⟬ࣔࢹࣝ࡜ィ⟬ࣉࣟࢢ࣒ࣛࢆసᡂࡋࠊࢧ࢖ࢡࣝࢩ
࣑࣮ࣗࣞࢩࣙࣥ࡟ࡼࡿᛶ⬟ศᯒࢆ⾜࠺ࠋ©CRIEPI90ᅗ㸯 (9 ࡢ⇕⟶⌮ࡢᚲせᛶ⾲  ⌧⾜⇕⟶⌮ᢏ⾡࡜ㄢ㢟ኳೃᑐ㇟⇕ฎ⌮ࢽ࣮ࢬㄢ㢟ཎᅉ
㧗㈇Ⲵࠊప㢼㔞ࠊࢥࣥࣃࢡࢺ⇕஺᥮ჾ

a

ኟᏘ

౵ධ㧗

⇕㝖ཤ ෭ᡣ

HP or AC

จ⦰ỈⓎ⏕

෤Ꮨ

౵ධప

⇕㝖ཤ ᬮᡣ

HP or ࣄ࣮ࢱ

㟁ຊᾘ㈝㔞኱ࡁ࠸ bHP㝖㟖࣭ᬮᡣ೵Ṇ cຍ⇕※↓ࡋእẼ୰ࡢỈ⵨ẼHP or ࣄ࣮ࢱ

㟁ຊᾘ㈝㔞኱ࡁ࠸ d㌴ᐊෆࡢỈ⵨Ẽ㌴ᐊỈ⵨Ẽ㝖ཤ 㜵᭎

ప 㧗‵

ࣂࢵࢸࣜ

⇕ฎ⌮ᶵჾ

࢜ ࣮ ࣝ
ࢩ࣮ࢬࣥ

෤Ꮨ

࣮ࣔࢱ࣭ ࢜ ࣮ ࣝ࢖ࣥࣂ࣮ࢱ ࢩ࣮ࢬࣥⓎ⇕㝖ཤ ෭༷

HP or AC㟁ຊᾘ㈝㔞኱ࡁ࠸

᪼ຍ⇕HP or ࣄ࣮ࢱ

㟁ຊᾘ㈝㔞኱ࡁ࠸

Ⓨ⇕㝖ཤ ෭༷

ࣛࢪ࢚࣮ࢱ

≉࡟↓࠸

e

ࣂࢵࢸࣜࡢ ᗘ≉ᛶ㸸㧗 ᛶ⬟పୗࠊ⇕ᭀ㉮ࠊప ຎ໬HP㸸ࣄ࣮ࢺ࣏ࣥࣉ AC㸸෭༷ᑓ⏝✵ㄪᶵ⾲  ㄢ㢟࡟ᑐࡍࡿᑐ⟇᱌ㄢ㢟ᑐ⟇᱌
1 จ⦰Ỉࢆά⏝ࡋ࡚ࣂࢵࢸࣜ෭༷ࠊ┬㟁ຊ

a e㌴ᐊ࣭ኟᏘ࣭෭ᡣࡢࠊจ⦰Ỉ࡜ࣂࢵࢸࣜ෭༷㟁ຊᾘ㈝㔞኱ࡁ࠸

2 ࣂࢵࢸ࣭࣮ࣜࣔࢱ࣭࢖ࣥࣂ࣮ࢱࡢⓎ⇕࡛ᬮᡣࠊ┬㟁ຊb ㌴ᐊ࣭෤Ꮨ࣭ᬮᡣࡢࠊ㟁ຊᾘ㈝㔞኱ࡁ࠸c ㌴ᐊ࣭෤Ꮨ࣭ᬮᡣࡢࠊࣄ࣮ࢺ࣏ࣥࣉ㝖㟖࣭ᬮᡣ೵Ṇ

3 ࣂࢵࢸࣜ࡟⵳࠼ࡽࢀࡓ⇕࡛HP㝖㟖ࠊᬮᡣ೵Ṇ㜵ࡄd ㌴ᐊ࣭ప 㧗‵࣭㜵᭎ࡢࠊ㟁ຊᾘ㈝㔞኱ࡁ࠸ᗘ

4 ྾╔๣࡛Ỉ⵨Ẽࢆ㝖ཤࡋ࡚㜵᭎ࠊ┬㟁ຊ

100ႏ

Ⓨ⇕
࣮ࣔࢱ

80ႏ

Ⓨ⇕
࢖ࣥࣂ࣮ࢱ
ᬮᡣ⿵ຓ(෤)

ᗘ

✵Ẽ࡬ᨺ⇕

᤼⇕ ኟ

ࣛࢪ࢚࣮ࢱ

2

25ႏ
Ỉ⵨Ẽ
จ⦰Ỉ
㟖

సࡗࡓ
㧗 ⇕
ᬮᡣ(෤)
ᬮᡣ⿵ຓ(෤)2ຍ⇕(෤) ྾╔ 4 ྾╔๣
Ⓨ⇕
㌴ᐊ
ࣂࢵࢸࣜ
㜵᭎
సࡗࡓ
ప ⇕
1 ෭༷ ෭༷

෭ᡣ(ኟ)⵳⇕㝖㟖 3ࣄ࣮ࢺ࣏ࣥࣉ
⇕⟶⌮ᶵჾ

⇕⟶⌮ᑐ㇟

✵Ẽ࡬ᨺ⇕
✵Ẽ ኟ

35ႏ

✵Ẽ ෤

0ႏ

㟁Ẽ
✵Ẽ࠿ࡽ᥇⇕

࢚ࢿࣝࢠ࣮※

ᅗ  ⇕⟶⌮ࢩࢫࢸ࣒ࡢࢥࣥࢭࣉࢺࣔࢹࣝ

©CRIEPI91඲ ᅜ⏫୎Ꮠูࡢ PV ᑟධ㔞ࢆ⪃៖ࡋࡓᆅᇦࣞ࣋ࣝࡢ㟁ຊ㟂せ࣮࢝ࣈࡢ᥎ᐃᡭἲࡢᵓ⠏ୖ㔝 ๛ 㸨

Key Words㸸Photovoltaic System
Electric Power Demand
Statistical Data
Geographic Information System࣮࣮࢟࣡ࢻ㸸ኴ㝧㟁ụⓎ㟁
㟁ຊ㟂せ
⤫ィࢹ࣮ࢱ
ᆅ⌮᝟ሗࢩࢫࢸ࣒

Development of a method for estimating electricity demand curves at the regional levelconsidering the amount of PV installed in each town in Japan

Tsuyoshi Ueno
Abstract
In recent years, the installation of PV power generation systems has been increasing and has had a significant impact on theelectricity curve. To promote decarbonization and the spread of regional grids, PV installations are expected to continue to growin popularity. To ensure reliability of electricity supply and promote efficient decarbonization, it is necessary to estimate PV
generation at the regional level in detail, such as towns and villages, and demand curves that take PV generation into account. In
this study, public data on non-residential PV installations were organized by region and compiled into a database. And a method for
estimating electricity demand curves at the regional level considering the amount of PV installed was developed. Finally,
calculations were conducted for areas with large PV installations.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊

ENIC ◊✲㒊㛛 ୖᖍ◊✲ဨ

©CRIEPI92⫼  ᬒ㏆ᖺࠊኴ㝧ගⓎ㟁タഛ(PV)ࡢᑟධࡀ㐍ࡳࠊ㟂せ࣮࢝ࣈ 1) ࡟኱ࡁ࡞ᙳ㡪ࢆ୚࠼࡚࠸ࡿࠋ
⬺Ⅳ⣲ࡢ᥎㐍ࡸᆅᇦࢢࣜࢵࢻࡢᬑཬ࡟ྥࡅ࡚ PV ࡢᬑཬࡣ௒ᚋࡶ㐍ࡴ࡜⪃࠼ࡽࢀࡿࡀࠊ
㟁ຊ౪⤥ࡢಙ㢗ᛶ☜ಖࡸຠ⋡ⓗ࡞⬺Ⅳ⣲ࡢ᥎㐍ࡢࡓࡵ࡟ࡣࠊ⏫୎Ꮠ➼ࡢヲ⣽࡞ᆅᇦ࡛ࣞ࣋ࣝࡢ PV Ⓨ㟁㔞ࡸࠊPV Ⓨ㟁㔞ࢆ⪃៖ࡋࡓ㟂せ࣮࢝ࣈࡢ᥎ᐃࢆ⾜࠺ᚲせࡀ࠶ࡿࠋ┠  ⓗFIT ㄆᐃ᝟ሗ 2) ࡢ㠀ఫᏯ⏝ࡢ PV ᑟධ㔞࡟㛵ࡍࡿබ㛤ࢹ࣮ࢱࢆᆅᇦู࡟ᩚ⌮ࡋࠊᆅᇦ࡛ࣞ࣋ࣝࡢ PV Ⓨ㟁㔞ཬࡧ㟂せ࣮࢝ࣈࡢ᥎ᐃᡭἲࢆᵓ⠏ࡍࡿࠋࡲࡓ PV ኱㔞ᑟධᆅᇦࢆᑐ㇟࡟ヨ⟬ࢆ⾜࠺ࠋ୺࡞ᡂᯝᆅᇦ࡛ࣞ࣋ࣝࡢ 39 Ⓨ㟁㔞ཬࡧ㟂せ࣮࢝ࣈࡢ᥎ᐃᡭἲࡢᵓ⠏FIT ㄆᐃ᝟ሗࡢఫᡤࢆṇつ໬࣭㞟ィࡋࠊ㒔㐨ᗓ┴࣭ᕷ༊⏫ᮧ࣭⏫୎Ꮠࣞ࣋ࣝࡢᖺู
ࡢ㠀ఫᏯ⏝ࡢ PV ࡢ⣼✚ᑟධ㔞ࢆᩚ⌮ࡋࡓࠋPV ࡢᑟධ㔞ࡣᆅᇦ࡟ࡼࡗ࡚኱ࡁࡃ␗࡞
ࡗ࡚࠾ࡾࠊPV ࡀ᭱ࡶከࡃᑟධࡉࢀ࡚࠸ࡿࡢࡣୡᖏᐦᗘࡀ 100 ㌺/km 2 ⛬ᗘࡢᕷ༊⏫ᮧ࡛࠶ࡿࡇ࡜ࡀศ࠿ࡗࡓ(ᅗ 1)ࠋୡᖏᐦᗘࡀ㧗࠸㒔ᕷ㒊࡛ࡣタ⨨࡛ࡁࡿᆅⅬࡀᑡ࡞ࡃࠊ
ࡲࡓᒣ㛫㒊➼ࡢ㠀ᖖ࡟ప࠸ᆅᇦ࡛ࡶᑟධࡉࢀ࡟ࡃ࠸࡜⪃࠼ࡽࢀࡿࠋ
ࡲࡓୖグ࡟ᩚ⌮ࡋࡓᆅᇦูࡢ PV ᑟධ㔞࡜ࠊᙜᡤ㛤Ⓨࡢ㟂せࢩ࣑࣮ࣗࣞࢩࣙࣥࢶ࣮
ࣝ 3) ୰ࡢ༢఩ᐜ㔞࠶ࡓࡾⓎ㟁㔞᥎ᐃᶵ⬟ࢆ⏝࠸࡚ࠊᆅᇦෆࡢ PV Ⓨ㟁㔞࣮࢝ࣈࡢ᥎ᐃ
ᡭἲࢆᵓ⠏ࡋࡓ(ᅗ 2)ࠋᮏᡭἲ࡟ࡼࡿ PV Ⓨ㟁࣮࢝ࣈ࡜ࠊ᪤ ࢶ࣮࡛ࣝ⟬ฟࡉࢀࡿఫ
Ꮿ࣭஦ᴗᡤࡢᾘ㈝㟁ຊ࣮࢝ࣈࢆྜᡂࡍࡿࡇ࡜࡟ࡼࡗ࡚ࠊᆅᇦ඲యࡢ㟂せ࣮࢝ࣈࢆ᥎
ᐃࡍࡿࡇ࡜ࡀྍ⬟࡜࡞ࡿࠋ39 ኱㔞ᑟධᆅᇦࢆᑐ㇟࡜ࡋࡓ㟂せ࣮࢝ࣈࡢヨ⟬⩌㤿┴ෆࡢ඲ 2,400 వࡢ⏫୎Ꮠࢆᑐ㇟࡟㟁ຊ㟂せ࣮࢝ࣈࡢヨ⟬ࢆ⾜ࡗࡓ 4) ࠋᅗ 3 ࡟
PV ᑟධ๓(2012 ᖺ)࡟ᑐࡍࡿ PV ᑟධᚋ(2021 ᖺ)ࡢẚ⋡ࢆ♧ࡍࠋ๓ᶫᕷࡸ㧗ᓮᕷࡢ୰ᚰ㒊➼ࠊඖࠎࡢ㟂せࡀ኱ࡁࡃ PV ࡀᑟධࡉࢀ࡟ࡃ࠸ᆅᇦ࡛ࡣኚ໬ࡀᑠࡉࡃ(ᬮⰍ)ࠊ㑹እᆅᇦ࡛ኚ໬ࡀ኱ࡁ࠿ࡗࡓ(ᐮⰍ)ࠋࡲࡓ⩌㤿┴ෆࡢ」ᩘࡢ⏫୎Ꮠ࡟࠾ࡅࡿ PV ᑟධ㔞࡟ᇶ࡙ࡁ㟂せ࣮࢝ࣈࢆヨ⟬ࡋࡓ࡜ࡇࢁ(ᅗ 4)ࠊ2012 ᖺ࡟ࡣᮅ࠿ࡽ᪥୰࡟࠿ࡅ࡚ࣆ࣮ࢡ
ࡀ࠶ࡗࡓࡀࠊPV ࡢᑟධ࡟ࡼࡗ࡚ᚎࠎ࡟᫨㛫ࡢ㟂せࡀୗࡀࡾࠊᆅᇦ࡟ࡼࡗ࡚ࡣ 2020 ᖺ࡟ࡣ᫨㛫ࡢ㟂せࡀ㏫₻ὶഃ࡟኱ࡁࡃ᣺ࢀࡿࡇ࡜ࡀ♧ࡉࢀࡓࠋ௒ᚋࡢᒎ㛤ᆅᇦࢆᑐ㇟࡜ࡋࡓ⬺Ⅳ⣲ࡸᆅᇦࢢࣜࢵࢻࡢᑟධࢩࢼࣜ࢜࡟㛵ࡍࡿᐃ㔞ศᯒࢆ⾜࠺ࠋ
ᆅ
ὀ 1)
2)
3)
4)

ᮏሗ࿌࡛ࡣࠊఫᏯࡸ஦ᴗᡤ࡛ࡢᾘ㈝㟁ຊ(㟁ຊ㈇Ⲵ)࡟ຍ࠼ࠊ㟂せᐙࢧ࢖ࢻ࡟タ⨨ࡉࢀࡓศᩓᆺⓎ㟁࡟ࡼࡿⓎ㟁ࡶྵࡵ࡚㟂せ࡜࿧ࢇ࡛࠸ࡿࠋࡍ࡞ࢃࡕࠊ㟂せ=ᾘ㈝(㈇Ⲵ)㸫Ⓨ㟁࡜ᐃ⩏ࡋ࡚࠸ࡿࠋ
ࡇࡇ࡛ࡣࠊ⤒῭⏘ᴗ┬࡟ࡼࡿࠊ෌⏕ྍ⬟࢚ࢿࣝࢠ࣮Ⓨ㟁஦ᴗィ⏬ࡢㄆᐃ᝟ሗࢆᣦࡍࠋ20kW ௨ୖࡢ PV
タഛ࡟ࡘ࠸࡚ࠊⓎ㟁タഛฟຊࠊᡤᅾᆅࠊㄆᐃ᪥➼ࡀබ㛤ࡉࢀ࡚࠸ࡿࠋ
㛵㐃ࡍࡿ㟁୰◊ሗ࿌࡜ࡋ࡚ R15006ࠊC16003ࠊC18003ࠊC19004ࠊC20010 ࡀ࠶ࡿࠋ⡆༢ࡢࡓࡵࠊఫᏯࡢୡᖏࡈ࡜ᾘ㈝㟁ຊ࣮࢝ࣈࡣᙜヱᕷ⏫ᮧࡢᖹᆒ࣮࢝ࣈࢆ⏝࠸ࠊྛ⏫୎Ꮠࡢୡᖏᩘࢆ஌
ࡌࡿࡇ࡜࡛⏫୎ᏐࡢఫᏯ⏝ᾘ㈝㟁ຊ࣮࢝ࣈࢆ᥎ᐃࡋࡓࠋࡲࡓ PV ᑟධ㔞࡟ࡼࡿᕪ␗ࢆぢࡿࡇ࡜ࢆ┠ⓗ࡜ࡋ࡚࠾ࡾࠊࡇࡇ࡛ࡣఫᏯ࣭஦ᴗᡤࡢᾘ㈝㟁ຊ࣮࢝ࣈࡣᖺ࡟ࡼࡽࡎྠࡌ࡜ࡋ࡚࠸ࡿࠋ

©CRIEPI93ණ஝਩嵣૚঴ഛஊ
া਴঩ৎৎਡ

ᅗྛᕷ༊⏫ᮧࡢୡᖏᐦᗘ࡜ᑟධ㔞ࡢ㛵ಀ ᅗ

39 ᑟධ๓ᚋࡢ㟁ຊ㟂せࡢẚ⋡ ᖺ࠿ࡽ  ᖺࡢኚ໬ মਾઔછदभଡണ৖ী

৉ୠ39৅ਗ਼୤ঔॹঝ
ਞ଴ॹ‫ॱش‬঩ೝ୤ആ২

),7ॹ‫ॱش‬ঋ‫ش‬५൅ుྖਬఈϠυϩ

ेॶਜ਼‫و‬Կʀॄ‫ܯ‬౐ਜ਼଑ো୤ँञॉभ
৅ਗ਼ढ़‫ش‬ঈ N:N:

৉ୠ৔39଑ো୤
N:৉ୠ

হ঵ਚ଎ા୤ঔॹঝ

ક୧଎ા୤ঔॹঝ
‫؞‬বિ৹ਪॹ‫ॱش‬‫؞‬1+.েણৎ৑৹ਪ
‫؞‬೸଀෰ग़ॿঝॠ‫ش‬ੑ઴
উটॢছ঒
HWF

৉ୠ৔39৅ਗ਼ढ़‫ش‬ঈ

N:৉ୠ IRU39‫ੋ৽؞‬७থ१५ॹ‫ॱش‬‫؞‬6,, %(06ॹ‫ॱش‬‫؞‬ग़ॿૂॹ‫ॱش‬৉ୠ৔৷ಥશ঩଀෰ढ़‫ش‬ঈક୧৷39அि

৉ୠ৔঵ரશ঩଀෰ढ़‫ش‬ঈ

N:৉ୠ IRUક୧

N:৉ୠ IRUহ঵ਚ৉ୠ৔भ଎ાਗ਼ৡ୤‫؞‬39৅ਗ਼୤भ়ਛढ़‫ش‬ঈᆅᇦ࡛ࣞ࣋ࣝࡢ 39 Ⓨ㟁㔞ཬࡧ㟂せ࣮࢝ࣈࡢ᥎ᐃࡢὶࢀফશ া਴঩

岧ফ峨峑峘ྸ஋଑ো୤岨
৐ଶ৘D঴‫؟‬৺N:
ফ岵峳峙ੜਸ峔峁
ৈ૊৘E঴‫؟‬৺N:
਍র৘F঴‫؟‬৺N:岽岽峑峙প୤଑ো৉ୠ峘হ୻峒峁
峐39଑ো峕峲峵೽ਏශ଍峘૗৲岶প岷岮৉ୠ峼ં峁峐岴峴岝੗岹峘৉ୠ峑岽峘峲岰峔૗৲岶ে峂峐岮峵峹岻峑峙峔岮岞াશ ফ ਗ਼ৡ೽ਏ ਫ‫؟‬ದ৹૴岝଀‫؟‬ಗດ૴ >N:@ᅗᅗ

39 ኱㔞ᑟධᆅᇦࢆᑐ㇟࡜ࡋࡓ㟂せ࣮࢝ࣈࡢヨ⟬౛ ᭶ᖹ᪥ࡢྜᡂ㟂せ࣮࢝ࣈࡢ⤒ᖺኚ໬࡜  ᖺ᫬Ⅼࡢ᭶ูࡢྛィ⟬್㛵㐃ሗ࿌᭩㸸
C20010ࠕ㟂せࢩ࣑࣮ࣗࣞࢩࣙࣥࢶ࣮ࣝ࡟ࡼࡿᆅᇦࣞ࣋ࣝࡢᐙᗞ⏝࢞ࢫ࣭ⅉἜᾘ㈝㔞ࡢ⟬ฟࠖ㸦2021.3㸧

௚©CRIEPI94ேឤࢭࣥࢧࢆഛ࠼ࡓ࢚࢔ࢥࣥࡢ✵Ẽὶไᚚᶵ⬟ࡀᐊෆ ⇕⎔ቃ࡬ཬࡰࡍᙳ㡪ࡢᢕᥱୖ㔝 ๛㸨Ᏻ⏣ ᪼ᖹ㸨ᐑỌ ಇஅ㸨

Key Words㸸Room Air Conditioner
Residential Building
Performance Evaluation
Indoor Thermal Environment࣮࣮࢟࣡ࢻ㸸ᐙᗞ⏝࢚࢔ࢥࣥఫᏯᛶ⬟ホ౯ᐊෆ ⇕⎔ቃThe Influence of Airflow Control Function of Air Conditioners with Human Sensor
on Indoor Thermal Environment

Tsuyoshi Ueno, Shohei Yasuda and Toshiyuki Miyanaga

Abstract
In order to promote energy saving and improve thermal comfort during air conditioner operation, it is expected to use
control functions of air conditioners such as human sensing. In this study, a method to continuously measure the direction offlaps and louvers of an air conditioner was developed to understand the behavior of the air conditioner in response to differencesin the position of the person in the room. As a result, it was confirmed that the direction of the flaps and louvers changed
depending on the control type of the motion sensor function and the position of the person. In addition, we conducted heating
and cooling tests under different flap and airflow conditions in test houses with different insulation performance to understandthe indoor temperature distribution. As a result, it was confirmed that the larger the airflow rate, the smaller the temperature
difference between the top and bottom of the room for both cooling and heating in all insulation-grade houses.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ୖᖍ◊✲ဨ
*2ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ୺௵◊✲ဨ*3 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ๪◊✲ཧ஦

©CRIEPI95⫼  ᬒ࢚࢔ࢥࣥ㐠㌿᫬ࡢ┬࢚ࢿ᥎㐍࡜ ⇕ᛌ㐺ᛶࡢྥୖࡢࡓࡵࠊேࡢࢭࣥࢩࣥࢢ➼ࡢ࢚࢔ࢥࣥࡢไᚚᶵ⬟ࡀ฼⏝ࡉࢀ࡚࠸ࡿࡀࠊไᚚᶵ⬟฼⏝ࡢຠᯝ࡟ࡘ࠸࡚ホ౯࣭ヨ㦂᪉ἲࡀ᫂☜࡞ࠊᐈほᛶࡢ࠶ࡿ஦౛ࡣබ㛤ࡉࢀ࡚࠸࡞࠸ࠋࡑࡇ࡛๓ሗ[1]࡛ࡣᬮᡣ㐠㌿᫬ࡢேឤࢭࣥࢧ
ᶵ⬟฼⏝࡟ࡼࡿᐊෆ ⇕⎔ቃࡢྥୖຠᯝࢆホ౯ࡋࡓࠋ୍᪉ࠊ࢚࢔ࢥࣥ⮬యࡀ✵Ẽࡢὶࢀࢆไᚚࡍࡿࣇࣛࢵࣉཬࡧ࣮ࣝࣂ࣮ࡢྥࡁࡸ྿ฟ㢼㔞➼ࡢᣲືࡣᢕᥱ࡛ࡁ࡚࠾ࡽࡎࠊࡑࢀ
ࡽࡢᣲື࡜ᐊෆ ⇕⎔ቃ࡜ࡢ㛵ಀࡶ༑ศ࡟ᢕᥱࡉࢀ࡚࠸࡞࠿ࡗࡓࠋ┠  ⓗ࢚࢔ࢥࣥࡢࣇࣛࢵࣉ࣭࣮ࣝࣂ࣮ࡢྥࡁࢆ㐃⥆ ᐃࡍࡿᡭἲࢆᵓ⠏ࡋࠊᅾᐊ⪅఩⨨➼ࡢᕪ࡟ᑐࡍࡿ࢚࢔ࢥࣥࡢ✵Ẽὶไᚚࡢᣲືࢆᢕᥱࡍࡿࠋࡲࡓヨ㦂⏝ఫᏯ⩌ 1)࡟࠾࠸࡚෭ᬮᡣ
ヨ㦂ࢆ⾜࠸ࠊࣇࣛࢵࣉࡢྥࡁཬࡧ྿ฟ㢼㔞ࡀᐊෆ ᗘศᕸ࡬୚࠼ࡿᙳ㡪ࢆᢕᥱࡍࡿࠋ

୺࡞ᡂᯝࣇࣛࢵࣉ࣭࣮ࣝࣂ࣮ྥࡁࡢ ᐃᡭἲࡢᵓ⠏⏬ീゎᯒࢆ⏝࠸࡚࢚࢔ࢥࣥࡢࣇࣛࢵࣉ࣭࣮ࣝࣂ࣮ࡢྥࡁࢆ㐃⥆ⓗ࡟ ᐃࡍࡿᡭἲࢆᵓ
⠏ࡋ(ᅗ 1)ࠊヨ㦂⏝ఫᏯ(ᅗ 2)࡟࠾࠸࡚ྠᡭἲࢆ⏝࠸࡚ࠊேឤࢭࣥࢧᶵ⬟฼⏝᫬࡟ᐊෆࡢᅾ
ᐊ⪅ࡢ఩⨨⛣ື࡟㏣ᚑࡋ࡚࣮ࣝࣂ࣮ࡢྥࡁࡀኚࢃࡿࡇ࡜ࢆ☜ㄆࡋࡓ(ᅗ 3)ࠋ
ேឤࢭࣥࢧᶵ⬟ཬࡧ✵Ẽὶไᚚᶵ⬟฼⏝ࡀᐊෆ ⇕⎔ቃ࡬୚࠼ࡿᙳ㡪ࡢᐇែᢕᥱ
ேឤࢭࣥࢧᶵ⬟ࡢไᚚ✀ู࡜ேࡢ఩⨨ࢆኚ࠼ࡓ෭ᡣ㐠㌿ヨ㦂 2)ࢆ⾜࠸ࠊྛఫᏯ࡛ࡢ࢚࢔
ࢥࣥࡢᣲືཬࡧᐊෆ ᗘศᕸࢆィ ࡋࡓࠋேឤࢭࣥࢧᶵ⬟ࡢไᚚ✀ู࣭ேࡢ఩⨨࡟ࡼࡗ࡚ࣇࣛࢵࣉࡸ࣮ࣝࣂ࣮ࡢྥࡁࡀኚࢃࡿࡇ࡜ࡀ☜ㄆࡉࢀࡓࠋࡲࡓ࡝ࡢఫᏯ࡟࠾࠸࡚ࡶேឤ
ࢭࣥࢧᶵ⬟࢜ࣇࡢሙྜ࡟ࡣタᐃ ᗘࡼࡾࡶప࠿ࡗࡓᐊෆ ᗘࡀேឤࢭࣥࢧᶵ⬟ࢆ౑⏝ࡍࡿ࡜ୖ᪼ࡋ(ᅗ 4)ࠊ࢚࢔ࢥࣥࡢᾘ㈝㟁ຊࡀపୗࡍࡿࡇ࡜ࡀ☜ㄆࡉࢀࡓࠋ
࢚࢔ࢥࣥࡢࣇࣛࢵࣉࡢྥࡁཬࡧ྿ฟ㢼㔞ࢆኚ࠼ࡓ෭ᬮᡣ㐠㌿ヨ㦂 3㸧ࢆ⾜࠸ࠊྛఫᏯ࡛ࡢ ᗘศᕸࢆィ ࡋࡓࠋ෭ᬮᡣ࡜ࡶ࡟ࠊ࡝ࡢ᩿⇕➼⣭ఫᏯ࡟࠾࠸࡚ࡶࠊ㢼㔞ࡀ኱ࡁࡃ࡞
ࡿ࡯࡝ୖୗࡢ ᗘᕪࡀᑠࡉࡃ࡞ࡿࡇ࡜(ᅗ 5)ࠊࡲࡓ෭ᡣ࡜ᬮᡣ࡛ᣲືࡀ␗࡞ࡾࠊ෭ᡣ࡛ࡣ
㢼㔞ᙅࡢሙྜ࡟ࡣ㐠㌿㛤ጞ᫬ࡢᐊ ࡀ㧗࠸᫬㛫࡟⨨࠸࡚ࡶᾘ㈝㟁ຊࡀ 500W ⛬ᗘ࡟␃ࡲࡗ࡚ࡗ࡚࠸ࡿࡇ࡜(ᅗ6)ࡀ☜ㄆࡉࢀࡓࠋ
ὀ 1
1)

2)
3)

␗࡞ࡿ᩿⇕ᛶ⬟(➼⣭ 2 ఫᏯ(ᪧ┬࢚ࢿᇶ‽┦ᙜ)ࠊ➼⣭ 4 ఫᏯ(ḟୡ௦┬࢚ࢿᇶ‽┦ᙜ)ࠊHEAT20 ఫᏯ(HEAT20 G2┦ᙜ))ࢆᣢࡘヨ㦂ఫᏯ 3 Ჷ(ᖹᒇᘓࠊࣜࣅࣥࢢࢲ࢖ࢽࣥࢢᐊ+ᗯୗ)ࠋ᩿⇕ᛶ⬟ࡣ➼⣭ 2 ࡀ᭱ࡶపࡃࠊ➼⣭ 4ࠊ
HEAT20 ࡢ㡰࡟㧗ࡃ࡞ࡗ࡚࠸ࡿࠋヨ㦂ఫᏯ⩌ࡣ ᗘไᚚࡉࢀࡓ⎔ቃヨ㦂ᐊෆ࡟タ⨨ࡉࢀ࡚࠸ࡿࠋ
࢚࢔ࢥࣥࡣᐃ᱁෭ᡣ⬟ຊ 3.6kW ࡢ௦⾲ⓗ࡞ 1 ᶵ✀ࠊタᐃᐊ ࡣ 24Υ࡜ࡋࠊእẼ ࡣ 35Υ࡟タᐃࡋࡓࠋேឤࢭࣥ
ࢧᶵ⬟ࡣࠕ㢼࠶࡚ࠖࠕ㢼ࡼࡅࠖཬࡧࠕேឤ࢜ࣇࠖ࡜ࡋࠊேࡢ఩⨨ࢆ 3 ⟠ᡤኚ᭦ࡋ࡚ヨ㦂ࢆ⾜ࡗࡓࠋ࢚࢔ࢥࣥࡢࣇࣛࢵࣉཬࡧ㢼㔞ࡣࡑࢀࡒࢀ 3 ẁ㝵(ࣇࣛࢵࣉ㸸ୖྥࡁࠊ୰ኸࠊୗྥࡁࠊ㢼㔞㸸ᙅ࣭୰࣭ᙉ)࡜ࡋࠊࣝ
࣮ࣂ࣮ࡣ 1 ẁ㝵(୰ኸ)࡜ࡋࠊேឤࢭࣥࢧࡣࠕᶵ⬟࢜ࣇࠖ࡜ࡋࡓࠋタᐃ ᗘࡣ෭ᡣ᫬ 24Υ/ᬮᡣ᫬ 22Υ࡜ࡋࠊእẼࡣ෭ᡣ᫬ 35Υ/ᬮᡣ᫬ 7Υ࡟タᐃࡋࡓࠋ㛵㐃ሗ࿌᭩㸸
[1]C20007ࠕ࢚࢔ࢥࣥᬮᡣ᫬ࡢᛌ㐺ᛶྥୖࡢࡓࡵࡢேឤࢭࣥࢧཬࡧࢧ࣮࣮࢟ࣗࣞࢱࡢ฼⏝࡟㛵ࡍࡿᇶ♏᳨ウࠖ
㸦2021.03㸧

©CRIEPI96হ৐峕崽嵑崫崿嵣嵓嵤崸嵤峘਱岷峒嵆嵤崓嵤ਜ਼઼峘ঢ়બ峼਄੭ 崕嵋嵒崾嵔嵤崟嵏嵛崐崊崛嵛 崐崊崛嵛஼৔ਃ஼ਗਃ๭ษ ¼

ആ২ੑ೾ਡ
૔஼঻ਜ਼઼
୎৿峃峵
P

嵆嵤崓嵤 ᑪ 峼፼峵峁峐঱ৣ্਱峘৿岷峕૗ఌ

૔஼঻峘
ਜ਼઼্਱
̩২

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ইছ⑁উभ৿ऌ

য૎崣嵛崝峕峲峍峐崽嵑崫崿嵣嵓嵤崸嵤峘਱岷 ഓ২ 岶૗峹峵嵓嵤崸嵤峘৿岷嵆嵤崓嵤ਜ਼઼峼਄੭྽লษ
¼

嵆嵤崓嵤঱ৣ峕୎৿
৵஑3&峘崓嵉嵑峑๡୶嵣઺൸ੰෲ

P崼嵛崗岶ਫ਼লਜ਼઼ᅗ ࢚࢔ࢥࣥࣇࣛࢵࣉ࣭࣮ࣝࣂ࣮ྥࡁࡢ  㐃⥆ ᐃᡭἲࡢᴫせ  

P

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ᅗ ヨ㦂⏝ఫᏯࡢࣜࣅࣥࢢ
ࢲ࢖ࢽࣥࢢᖹ㠃ᅗ

ਝ৒
ആ২

ਝ৒
ആ২

ᅗ ேឤࢭࣥࢧᶵ⬟฼⏝᫬ ෭ᡣࠊ㢼࠶࡚ ࡢ ேࡢ఩⨨࡜࣮ࣝࣂ࣮ྥࡁᅗ ྿ฟ㢼㔞࡜ୖୗ ᗘᕪࡢ㛵ಀ

Pˠ崐崊崛嵛͹Իౕ੏‫ ఼͗ޜ‬ຌର͹‫ࠒ͏ٷ‬Ί ‫ـۯ‬Իౕ͖Δ੼ ֐તιϱγͶΓ Ζ‫ݗ‬எԻౕ জΏป͹න໚Իౕ Ͷรߍ͠
ΗͪͪΌ ɼਕ‫״‬ιϱγ‫ ؽ‬೵ཤ༽࣎Ͷͺઅ ఈԻౕ
Ͷ͚ۛ͵ ͮͪͳߡ͓ΔΗΖ

ᅗ ேឤࢭࣥࢧ✀ู࡟ࡼࡿᐊෆࡢ
ᐊෆࡢୖୗ ᗘศᕸࡢᕪ␗ ෭ᡣヨ㦂 ᅗ ྿ฟ㢼㔞ࢣ࣮ࢫࡈ࡜ࡢᾘ㈝㟁ຊࡢ⤒᫬ኚືࣇࣛࢵࣉࡣ෭ᬮᡣ࡜ࡶ࡟᭱ୗྥࡁ  ࣇࣛࢵࣉࡣ෭ᬮᡣ࡜ࡶ࡟᭱ୗྥࡁ ©CRIEPI
97ᘓ≀ෆࡢከᵝ࡞ ⇕⎔ቃࢆᶍᨃྍ⬟࡞ᛌ㐺ᛶヨ㦂ᐊࡢ㛤Ⓨ
ࡑࡢ 3 ࢚࢔ࢥࣥᬮᡣ⎔ቃࡢ෌⌧ᡭἲ࡜ጇᙜᛶࡢ᳨ドᐑỌ ಇஅ㸨ୖ㔝 ๛㸨ᒾᯇ ಇဢ㸨Ᏻᒸ ⤢Ꮚ Ᏻ⏣ ᪼ᖹ 

Key Words㸸Non-uniform thermal environment
Thermal comfort
Air-conditioning heating
Reproduction of thermal environment࣮࣮࢟࣡ࢻ㸸୙ᆒ୍ ⇕⎔ቃ⇕ᛌ㐺ᛶ࢚࢔ࢥࣥᬮᡣ
⇕⎔ቃ෌⌧Development of a comfort test room that can simulate various thermal environments
in a building Part3: Reproduction method of air conditioning heating environment
and validation of the method
Toshiyuki Miyanaga, Tsuyoshi Ueno, Toshiya Iwamatsu, Ayako Yasuoka
And Shohei Yasuda

Abstract
It is necessary to evaluate thermal comfort by taking into account the unevenness of vertical air temperature, which isconsidered to be a cause of dissatisfaction with the heating environment, and the non-uniformity of window and perimeter wall
temperatures. Therefore, we have constructed a comfort test room that can simulate non-uniform thermal environments, andhave prepared an environment that can evaluate the thermal effects on the human body from both experiments and numericalsimulations.
In this report, we have developed a method of reproducing a thermal environment in the test room that is equivalent to thatof an air-conditioned heating environment. By using thermal mannequins and simulations, we controlled the test room so thatthe vertical temperature distribution near the mannequins and the amount of heat dissipated by each part of the mannequins in
the test room would be the same as those in the air-conditioned heating environment. Four different air-conditioned heating
environments were reproduced in the test room. The results of the comparison between the target and the reproduction of theupper and lower temperature distributions and the amount of heat dissipation showed a good agreement between them, and thevalidity of the method was verified.
*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ๪◊✲ཧ஦*2 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ୖᖍ◊✲ဨ*3 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ୺௵◊✲ဨ

©CRIEPI98⫼  ᬒఫᏯศ㔝࡛ࡢ࢚ࢿࣝࢠ࣮౑⏝㔞ࡢ 3 ๭ࢆ༨ࡵࡿᬮᡣࡢ┬࢚ࢿࢆ㐍ࡵࡿ࡟ࡣࠊ⏕ά⪅ࡢ⇕ᛌ㐺ᛶ࡬ࡢ㓄៖ࡀ୙ྍḞ࡛࠶ࡿࠋࡇࡢࡓࡵ࡟ࡣᬮᡣ᫬ࡢᐊෆ ⇕⎔ቃ㸦௨㝆ࠊᬮᡣ⎔ቃ㸧ࡢ୙‶ࡢཎᅉ࡜ࡉࢀࡿ✵Ẽࡢୖୗ ᗘ࣒ࣛࡸࠊ❆ࡸ࿘ቨ ᗘࡢ୙ᆒ୍ᛶࢆ⪃៖ࡋ࡚ ⇕ᛌ㐺ᛶࢆホ౯ࡍࡿᚲせࡀ࠶ࡿࠋࡑࡇ࡛ࠊ୙ᆒ୍࡞ ⇕⎔ቃࢆᶍᨃྍ⬟࡞ᛌ㐺ᛶヨ㦂ᐊ㸦௨㝆ࠊヨ㦂ᐊ㸧ὀ 1㸧ࢆᵓ⠏ࡋࠊேయࡀ୙ᆒ୍࡞ ⇕⎔ቃ࠿ࡽཷࡅࡿ⇕ᙳ㡪ࢆᐇ㦂࡜ᩘ್ࢩ࣑࣮ࣗࣞࢩࣙࣥ୧㠃࠿ࡽホ౯࡛ࡁࡿ⎔ቃࢆᩚ࠼࡚ࡁࡓ[1][2]ࠋ

┠  ⓗ⌧ᐇࡢᐊෆ✵㛫ࡢከᵝ࡞࢚࢔ࢥࣥᬮᡣ⎔ቃࢆࠊヨ㦂ᐊෆ࡟෌⌧ࡍࡿᡭἲࢆ㛤Ⓨࡍࡿࠋࡉࡽ࡟ࠊᐇ㦂࡟ࡼࡾࠊᡭἲࡢጇᙜᛶࢆ᳨ドࡍࡿࠋ୺࡞ᡂᯝ ከᵝ࡞࢚࢔ࢥࣥᬮᡣ⎔ቃࢆヨ㦂ᐊෆ࡟෌⌧ࡍࡿᡭἲࡢ㛤Ⓨࢧ࣮࣐࣐ࣝࢿ࢟ࣥ㸦௨㝆࣐ࢿ࢟ࣥ㸧ὀ 2㸧࡜ࢩ࣑࣮ࣗࣞࢩࣙࣥὀ 3㸧ࢆά⏝ࡋࡓ࢚࢔ࢥࣥᬮ
ᡣ⎔ቃࡢ෌⌧ᡭἲࢆ㛤Ⓨࡋࡓ㸦ᅗ 1㸧ࠋヨ㦂ᐊ࡛ࡢ࣐ࢿ࢟ࣥ㏆ഐࡢୖୗ ᗘศᕸ࡜㒊఩ࡈ࡜ࡢᨺ⇕㔞㸦ᨺᑕࠊᑐὶ㸧ࡀࠊ⌧ᐇࡢᐊෆ✵㛫㸦ᶍᨃᐊ㸧ࡢ┠ᶆ್࡜ྠࡌ࡟࡞ࡿࡼ࠺ヨ㦂ᐊࢆไᚚࡋࠊ෌⌧ࢆᅗࡿࠋᮏᡭἲࡢ≉ᚩࡣࠊᨺᑕ࡟ࡼࡿᨺ⇕㔞ࢆࢩ࣑࣮ࣗࣞࢩ࡛ࣙࣥ
ゎᯒࡋࠊᨺ⇕㔞ࢆᨺᑕ࡜ᑐὶ࡟ศ㞳ࡋ࡚ホ౯࡛ࡁࡿࡼ࠺࡟ࡋࡓࡇ࡜㸦ᅗ 1 ࡢࠕ≉ᚩ 1ࠖ㸧࡟ຍ࠼ࠊᑓ⏝ࡢㄪᩚ⏝࢖ࣥࢱ࣮ࣇ࢙࣮ࢫ࡟ࡼࡾ෌⌧㏵୰ࡢ≧ἣࢆどぬⓗ࡟ࣜ࢔ࣝࢱ࢖࣒
ᢕᥱ࡛ࡁࡿࡼ࠺࡟ࡋ㸦ᅗ 1 ࡢࠕ≉ᚩ 2ࠖ㸧ࠊ෌⌧⢭ᗘࡢྥୖ࡜ㄪᩚࡢຠ⋡໬ࢆྠ᫬࡟ᅗࡗࡓ
Ⅼ࡟࠶ࡿࠋ ෌⌧ᡭἲࡢጇᙜᛶࡢ᳨ド␗࡞ࡿ 4 ࢣ࣮ࢫࡢ࢚࢔ࢥࣥᬮᡣ⎔ቃࢆヨ㦂ᐊෆ࡟෌⌧ࡋࡓ㸦ᅗ 2㸧ࠋ࣐ࢿ࢟ࣥ㏆ഐࡢୖୗ ᗘศᕸ࡜㒊఩ࡈ࡜ࡢᨺ⇕㔞ࡢ┠ᶆ್࡜෌⌧್ࢆẚ㍑ࡋࡓ࡜ࡇࢁࠊ๓⪅ࡣྛࢣ࣮ࢫ࡜
ࡶ 0.5Υ௨ෆࡢᕪ୍࡛⮴ࡋࠊᚋ⪅ࡣ᭱኱ᕪࡀᨺ⇕㔞ࡢ⥲㔞࡛ 3㸣ࠊᨺᑕ࡟ࡼࡿᨺ⇕㔞 5㸣ࠊᑐὶ࡟ࡼࡿᨺ⇕㔞 19㸣࡛࠶ࡗࡓ㸦ᅗ 2 ࡢࠕࢣ࣮ࢫ 3 ࡢ෌⌧⤖ᯝࠖ㸧ࠋᑐὶ࡟ࡼࡿᨺ⇕㔞ࡢᕪࡀⱝᖸ኱ࡁ࠸ࡀࠊ࢚࢔ࢥࣥ㢼㔞ࡢᙉᙅࡢ㐪࠸࡛⏕ࡌࡿᨺᑕ࡜ᑐὶ࡟ࡼࡿᨺ⇕㔞ࡢ኱ᑠ㛵ಀࢆࡼࡃ෌⌧࡛ࡁ࡚࠾ࡾࠊ෌⌧ᡭἲࡣᴫࡡጇᙜ࡜ุ᩿࡛ࡁࡿࠋ

௒ᚋࡢᒎ㛤
ヨ㦂ᐊࡢ ⇕⎔ቃࡢ෌⌧⢭ᗘࡢྥୖࢆᅗࡿ࡜࡜ࡶ࡟ࠊᗋᬮᡣ⎔ቃ➼ࡶ෌⌧ྍ⬟࡟ࡍࡿࠋࡉࡽ࡟ࠊᮏヨ㦂ᐊ࡟࠾ࡅࡿ⿕㦂⪅࡟ࡼࡿ ⇕ᛌ㐺ᛶホ౯࡟╔ᡭࡍࡿࠋὀ 1 ቨ࡟タ⨨ࡋࡓ 12 ᯛࡢᨺᑕࣃࢿࣝ࡜ୖୗ 2 ẁࡢ✵Ẽᅇ㌿ὶࢆ⤌ࡳྜࢃࡏࠊከᵝ࡞୙ᆒ୍ ⇕⎔ቃࢆᙧᡂ࡛ࡁࡿࠋ
ὀ 2 ෆⶶࣄ࣮ࢱ࡜࣐࢖ࢥ࡛ࣥேయⓎ⇕ࢆᶍᨃࡋࠊ㒊఩ࡈ࡜ࡢᨺ⇕㔞㸦ᨺᑕ㸩ᑐὶ㸦ᮏሗ࿌㸧㸧ࢆィ ࡍࡿ⿦⨨ࠋᮏሗ࿌࡛ࡣ╔⾰࡞ࡋ㸦〄య㸧ࠊ⾲㠃 ᗘࢆ 32.6Υ࡟⥔ᣢࡋࡓ≧ែ࡛౑⏝ࡋࡓࠋ
ὀ 3 ᙜᡤ㛤ⓎࡢఫᏯ⏝ᐊෆ ⇕⎔ቃタィࢶ࣮ࣝ CADIEE㸦౛࠼ࡤࠊ㟁ຊ୰ኸ◊✲ᡤ ◊✲ሗ࿌ R06016㸧
ࠋ

©CRIEPI99ᅗ 1 㛤Ⓨࡋࡓ࢚࢔ࢥࣥᬮᡣ⎔ቃࡢ෌⌧ᡭἲࡢᴫせ
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‫ پ‬ബৌ୷  DEV> ৯ఏகٕગਠக ৯ఏக@‫ پ‬਴಑ബৌ୷  DYHUDJH>DEV> ৯ఏகٕગਠக ৯ఏக@@  ଣ೸୤>:@

崙嵤崡峘ગਠ੥ટ

ᅗ 2 ࢚࢔ࢥࣥᬮᡣ⎔ቃࡢ෌⌧⤖ᯝࡢࡲ࡜ࡵ
㛵㐃ሗ࿌᭩㸸
[1] C19007ࠕከᵝ࡞ᬮᡣ⎔ቃࢆᶍᨃྍ⬟࡞ ⇕ᛌ㐺ᛶヨ㦂ᐊࡢ㛤Ⓨ ࡑࡢ 1 ࣉࣟࢺࢱ࢖ࣉᵓ⠏࡜✵Ẽ⎔ቃࡢホ౯ࠖ㸦2019.06㸧
[2] C20012ࠕྠୖ ࡑࡢ 2 ࢧ࣮࣐࣐ࣝࢿ࢟ࣥࢆ⏝࠸ࡓ⇕ᨺᑕ⎔ቃ࡜✵Ẽ⎔ቃࡢホ౯ࠖ㸦2020.06㸧

©CRIEPI100

EV ࢔ࢢࣜࢤ࣮ࢩࣙࣥ࡟ࡼࡿ VPP ஦ᴗࡢྍ⬟ᛶホ౯㸫஑ᕞ V2G ᐇド஦ᴗ࡟࠾ࡅࡿᙜᡤࡢ 3 ࠿ᖺᡂᯝ㸫㧗ᶫ 㞞ோ㸨 ᚋ⸨ ஂ඾㸨 ኱ᕊ ⱥኴ㑻㸨஭ୖ ᬛᘯ㸨 㧗ᮌ 㞞᫛㸨ᆏᮾ ⱱ㸨 ඵኴ ၨ⾜㸨 ᒣ⏣ ᬛஅ㸨 ὸ㔝 ᾈᚿ㸨 ụ㇂ ▱ᙪ㸨࣮࣮࢟࣡ࢻ㸸㟁Ẽ⮬ື㌴ࣅ࣮ࢡࣝࢶ࣮ࢢࣜࢵࢻ
࢔ࢢࣜࢤ࣮ࢩࣙࣥ
ࣂ࣮ࢳࣕࣝࣃ࣮࣡ࣉࣛࣥࢺྍ⬟ᛶホ౯

Key Words㸸Electric vehicle (EV)
Vehicle to grid (V2G)
Aggregation
Virtual power plant (VPP)
Feasibility evaluation

Evaluation of the Feasibility of Virtual Power Plant Business with EV Aggregation- Summary of Three-year Results of Kyushu V2G Demonstration Project Masahito Takahashi, Hisanori Goto, Eitaro Omine, Tomohiro Inoue, Masaaki Takagi,
Shigeru Bando, Hiroyuki Hatta, Tomoyuki Yamada, Hiroshi Asano and Tomohiko Ikeya

Abstract
Electric vehicle is expected to be a new flexibility-supplying energy resource to manage the power system with large-scale
renewable integration as well as a low-carbon mobility option. We joined the government-funded Kyushu VPP demonstration
project from FY2018 to FY2020 and evaluated the feasibility of VPP business with EV aggregation in Japan from different
viewpoints of VPP stakeholders, that is, power system operator, EV users and VPP aggregator. The results show that V2Gprovides enough demand creation potential of about 1300MW to suppress the PV power output curtailment in Kyushu area if
large number of EVs is widely used in the area, and more than 70% of EV users can accept V2G control to their own EVs
during parking time though it depends on compensation, however battery degradation, decreasing stored energy and parking
time restriction are their concerns. From our estimation, business value of VPP aggregator with EV aggregation is too low tostart the business at present given the cost conditions in this study. Additional VPP aggregator efforts and governmental
supports to raise the value are necessary to implement EVs in the power system as a flexibility-supplying energy resource.

*1 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛㸦ව㸧♫఍⤒῭◊✲ᡤ ୖᖍ◊✲ဨ*2 ♫఍⤒῭◊✲ᡤ ୖᖍ◊✲ဨ*3 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ୺௵◊✲ဨ*4 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛◊✲᥎㐍࣐ࢿ࣮ࢪ࣮ࣕ 㸦ව㸧♫఍⤒῭◊✲ᡤ ୖᖍ◊✲ဨ◊✲᥎㐍࣐ࢿ࣮ࢪ࣮ࣕ ୖᖍ◊✲ဨ*6 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛 ୺௵◊✲ဨ*7 ◊✲࢔ࢻࣂ࢖ࢨ࣮
*8 ௻⏬ࢢ࣮ࣝࣉ ≉௵ᙺဨ
*5 ࢢࣜࢵࢻ࢖ࣀ࣮࣋ࢩࣙࣥ◊✲ᮏ㒊 ENIC ◊✲㒊㛛

©CRIEPI101⫼  ᬒ㟁Ẽ⮬ື㌴㸦EV㸧ࢆ㟁ຊ㟂⤥ㄪᩚ࡟ά⏝ࡍࡿ V2G㸦Vehicle to Grid㸧ࡣࠊ෌⏕ྍ⬟࢚ࢿࣝࢠ࣮ࡢฟຊኚືࢆ⦆࿴ࡍࡿᡭẁ࡜ࡋ࡚ᮇᚅࡉࢀ࡚࠸ࡿࠋࡋ࠿ࡋࠊ㟂⤥ㄪᩚ࡟ά⏝ࡍࡿࡓࡵࡢ EV඘ᨺ㟁ไᚚᡭἲࡢ᳨ドࡸࡑࡢᑟධྍ⬟ᛶࡢホ౯ࡣ⾜ࢃࢀ࡚ࡇ࡞࠿ࡗࡓࠋ஑ᕞ㟁ຊࠊ㟁ຊ୰ኸ◊✲ᡤࠊ᪥⏘⮬ື㌴ࠊ୕⳻⮬ື㌴ᕤᴗࠊ୕⳻㟁ᶵࡢ 5 ♫ࡣࠊ2018㹼2020 ᖺᗘ࡟࠾࠸࡚ࠊEV ࡢ㟂⤥ㄪᩚ࡬ࡢά⏝ྍ⬟ᛶࢆ᳨ドࡍࡿᐇド஦ᴗࢆ⾜ࡗࡓࠋ┠  ⓗᮏᐇド஦ᴗ࡟࠾࠸࡚ࠊᙜᡤࡣࠊV1G㸭V2G ὀ㸧ࡢᑟධྍ⬟ᛶࢆࠊ⣔⤫ഃࠊEV ࣮ࣘࢨ࣮ഃࠊ
VPP ஦ᴗ⪅㸦࢔ࢢࣜࢤ࣮ࢱ࣮㸧ഃࡢࡑࢀࡒࢀࡢどⅬ࠿ࡽホ౯ࡍࡿࠋ୺࡞ᡂᯝ9*㸭9* ࡟ࡼࡿ࢚ࣜ࢔ 39 ฟຊไᚚ㔞ࡢ⦆࿴ຠᯝ࠙⣔⤫ഃࡢホ౯ࠚ஑ᕞ඲ᇦࡢᑗ᮶ࡢ EV ᬑཬྎᩘࢆ 120 ୓ྎ࡜᝿ᐃࡋࠊᙜᡤ᪤㛤Ⓨࡢḟୡ௦⮬ື㌴஺㏻ࢩ࣑࣮ࣗࣞࢱ࡜㉳⤊Ⅼ࢔ࣥࢣ࣮ࢺ⤖ᯝࢆ⏝࠸࡚ࠊ࢚ࣜ࢔ෆࡢಶࠎࡢ EVࡢ㉮⾜ࡸ඘㟁⾜ືࢆࢩ࣑࣮ࣗࣞࢩࣙࣥࡋ࡚ࠊ஑ᕞ඲ᇦࡢ V1G㸭V2G࡟ࡼࡿ㟂せ๰ฟ㔞ࢆホ౯ࡋࡓࠋ㥔㌴୰ EVࡢ඘㟁ჾ࡬ࡢ᥋⥆☜⋡ 100%࡜௬ᐃࡋࡓሙྜࠊ㍍㈇Ⲵᮇࡢఇ᪥᫨㛫࡟࠾࠸࡚ࠊV1G ࡛ࡣ᭱኱ 37 ୓ kWࠊ V2G ࡛ࡣ᭱኱ 130 ୓ kW ࡢ㟂せ๰ฟࡀ࡛ࡁࡿ㸦ᅗ 1㸧
ࠋV2G ࡟ࡼࡿ஦๓ᨺ㟁ࢆ⾜࠺ࡇ࡜࡛᫨㛫㟂せࢆ๰ฟ࡛ࡁࠊᖺ㛫 PV ฟຊไᚚ㔞㸦kWh㸧ࡢ 37%ࢆ⦆࿴࡛ࡁࡿࠋ
 9*㸭9* ࡟ᑐࡍࡿ࣮ࣘࢨ࣮ࡢཷᐜᛶㄪᰝ࠙(9 ࣮ࣘࢨ࣮ഃࡢホ౯ࠚ2019 ᖺ 12 ᭶࡟඲ᅜࡢ EV ᡤ᭷⪅ 664 ྡࢆᑐ㇟࡟ᬑẁࡢ EV ඘㟁⾜ືࡸ V1G㸭V2G ࡢཷᐜᛶ࡟㛵ࡍࡿ࢔ࣥࢣ࣮ࢺㄪᰝࢆ⾜ࡗࡓࠋㄪᰝ⤖ᯝ࡛ࡣࠊ7㹼8 ๭ࡢ EV ᡤ᭷⪅ࡣᑐ౯ḟ➨࡛ࡣ V1G㸭V2G ࡟༠ຊྍ⬟࡜ࡍࡿ୍᪉࡛ࠊ㟁ụຎ໬ࠊEV ࡢ⵳㟁ṧ㔞ࡀῶࡿࡇ࡜㸦㟁Ḟࣜࢫࢡ㸧ࠊ㥔㌴᫬㛫ࡢᣊ᮰ࡢ 3 Ⅼࢆᠱᛕࡋ࡚࠸ࡿ㸦ᅗ 2㸧
ࠋV1G㸭V2G ࢆ♫఍ᐇ⿦ࡍࡿ࡟࠶ࡓ
ࡾࠊᠱᛕ஦㡯ࢆゎᾘࡋཷᐜࡉࢀࡿ஦ᴗࣔࢹࣝࢆᵓ⠏ࡍࡿᚲせࡀ࠶ࡿࠋ 9*㸭9*ࢆྵࡴᑠつᶍࣜࢯ࣮ࢫ࢔ࢢࣜࢤ࣮ࢩࣙࣥࡢ஦ᴗᛶホ౯࠙933஦ᴗ⪅ഃࡢホ౯ࠚ
EV㸦V1G㸭V2G㸧ࡢ௚࡟ࠊᐙᗞ⏝ࣄ࣮ࢺ࣏ࣥࣉ㸦HP㸧⤥‫‮‬ᶵࠊᐙᗞ⏝⵳㟁ụࡢィ 3 ✀㢮ࡢᑠつᶍࣜࢯ࣮ࢫࢆྲྀࡾୖࡆࠊ3 ḟㄪᩚຊղᕷሙࢆᑐ㇟࡟ࡋࡓ VPP ஦ᴗࡢ஦ᴗᛶホ౯ࢆ⾜ࡗࡓࠋ࡝ࡢࣜࢯ࣮ࢫ࡟ࡘ࠸࡚ࡶࠊ⌧᫬Ⅼ࡛ࡣࢩࢫࢸ࣒ࢥࢫࢺࡀ㧗ࡃࠊ3ḟㄪᩚຊղᕷ
ሙ࠿ࡽࡢ཰ධࡢࡳ࡟ᣐࡿ VPP ஦ᴗࡢᡂ❧ࡣ㞴ࡋ࠸㸦ᅗ 3㸧ࠋ᝿ᐃ᮲௳ୗ࡛ࡣࠊEV_V2G
㸦㏫₻ὶ OK㸧ࡢ஦ᴗ౯್ࡀ᭱ࡶ㧗ࡃࠊḟ࠸࡛⵳㟁ụ㸦㏫₻ὶ OK㸧
ࠊHP ⤥‫ࡢ‮‬㡰࡛஦ᴗ౯್ࡀ㧗࠸࡜࠸࠺⤖ᯝࡀᚓࡽࢀࡓࠋᑠつᶍࣜࢯ࣮ࢫࢆά⏝ࡍࡿ VPP ஦ᴗࢆᡂ❧ࡉࡏࡿࡓࡵ࡟ࡣࠊࢩࢫࢸ࣒ࢥࢫࢺࡢపῶࠊไᗘタィࠊ஦ᴗ⪅ഃࡢᕤኵ㸦࢚ࢿ࣐ࢿ࡞࡝௚஦ᴗ࡜ྜ
ࢃࡏࡿ➼㸧ࡀᚲせ࡛࠶ࡿࠋ©CRIEPI102

௒ᚋࡢᒎ㛤
V1G㸭V2G ࡣࠊᢏ⾡ⓗ࡟ࡣၥ㢟࡞࠸Ỉ‽࡟࠶ࡾࠊ௒ᚋࠊ⤒῭ⓗ࡟ぢྜ࠺ࢧ࣮ࣅࢫࡢ㑅ᢥ࡜஦ᴗࣔࢹࣝࢆ᳨ウࡍࡿẁ㝵࡟ධࡿࠋไᗘ㠃࠿ࡽࡢᨭ᥼㸦㟁ụ࠿ࡽࡢ㏫₻ὶࢆㄆࡵࡿࠊ
⫋ሙ඘㟁⎔ቃࡢᩚഛ➼㸧ࡀᚲせ࡛࠶ࡿࠋ◊✲ㄢ㢟࡜ࡋ࡚ࡣࠊ㓄㟁⣔⤫࡟࠾ࡅࡿᙳ㡪㸦㟂⤥ࣂࣛࣥࢫࡸ㟁ᅽኚືࠊ㏦㟁⥺ΰ㞧➼㸧ࢆホ౯ࡋࠊᑐ⟇ࢆ᳨ウࡍࡿࡇ࡜ࡀᚲせ࡛࠶ࡿࠋὀ㸧V2G ࡣࠊ㏻ᖖࡢ EV ࡬ࡢ඘㟁࡟ຍ࠼࡚ࠊEV ࡢ⵳㟁ụ࠿ࡽ㟁ຊ⣔⤫࡬ࡢᨺ㟁ࢆࠊ㟁ຊ㟂⤥ㄪᩚ࡟ά⏝ࡍࡿ᪉⟇࡛࠶ࡿࠋ㟁ຊ⣔⤫࡟ᨺ㟁ࡏࡎ࡟ࠊEV ࡬ࡢ඘㟁ࡢࡳࢆ㟂⤥ㄪᩚ࡟ά⏝ࡍࡿ᪉⟇ࡣ V1G ࡜࠸࠺ࠋᅗ ஑ᕞ඲ᇦ࡟࠾ࡅࡿ 9*㸭9* ࡟ࡼࡿ㟂せ๰ฟྍ⬟㔞㸦㍍㈇Ⲵᮇఇ᪥᫨㛫ࡢሙྜ㸧
60%

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50%

ೃ୛হඨ

40%
30%

2୞৯峘

20%

ೃ୛হඨ

10%
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0%

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Key Words㸸Hydro Generator Stator Coil
Maintenance and Inspection
Diagnosis
Partial Discharge
Machine Learning࣮࣮࢟࣡ࢻ㸸ỈຊⓎ㟁ᶵᅛᐃᏊᕳ⥺
ಖᏲⅬ᳨
デ᩿
㒊ศᨺ㟁
ᶵᲔᏛ⩦

Fundamental Study on Introduction of Machine Learning Technique to
Maintenance and Inspection of Hydropower Stator Coil
̿Establishment of Database for Abnormality Identification of Stator Coil̿

Takashi Kuraishi and Satoru Miyazaki

Abstract
Accurate and efficient maintenance inspections are essential for the rational replacement of stator windings of aged hydropower
generators. In practice, the accuracy of maintenance inspection depends on engineers' experience. The shortage of senior engineers
due to the aging population is a big problem, and technology transfer has been an essential subject in Japan in recent years. Various
industries are trying to introduce systems that study a large amount of maintenance and inspection data by machine learningtechnology and automatically diagnose equipment abnormalities. The machine learning technology can also be applied formaintenance and inspection of the stator winding to help engineers determine the maintenance measures. This report proposes ascheme to support maintenance inspection of the stator windings utilizing machine learning techniques. Furthermore, a database isdeveloped which contains partial-discharge data measured at the stator coils, which simulate abnormalities in real stator windings.
The accuracy of a diagnostic model based on the developed database is demonstrated.

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ᅛᐃᏊᕳ⥺␗ᖖุᐃࡢࡓࡵࡢࢹ࣮ࢱ࣮࣋ࢫࡢᴫせ106

2021 年度掲載された主な学術論文
筆頭著者

石本 和之

論文名

Direct Lightning Performance of Distribution Lines with Shield Wire Considering LEMP
Effect

掲載誌名，出版年， IEEE Transactions on Power Delivery, 2021
Volume 37, Issue 1, p. 76－84
巻号数，ページ
キーワード

Lightning, Wires, Surges, Finite difference methods, Conductors, Insulators, Flashover

URL

https://doi.org/10.1109/TPWRD.2021.3053620

筆頭著者

石本 和之

論文名

直撃雷に対する高圧配電線雷事故率の総合評価—フラッシオーバおよび避雷器処理エネル
ギーの評価プログラム—

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142 巻, 2 号, p. 98－105
巻号数，ページ
キーワード

配電線, 直撃雷, 雷事故率計算, フラッシオーバ, 避雷器処理エネルギー

URL

https://doi.org/10.1541/ieejpes.142.98

筆頭著者

岩田 幹正

論文名

Melting and breaking characteristics of strands of high-strength and high-corrosion-resistant
OPGW due to DC arc discharge simulating high-energy lightning strike

掲載誌名，出版年， Electrical Engineering in Japan, 2021,
Volume 214, Issue 4, e23345
巻号数，ページ
キーワード

DC arc, high-strength and high-corrosion-resistant OPGW, lightning strike, melting andbreaking of strands

URL

https://doi.org/10.1002/eej.23345

筆頭著者

岩田 幹正

論文名

高エネルギー雷撃を模擬した直流アークによる高張力・高耐食 OPGW の素線溶断特性

掲載誌名，出版年， 電気学会論文誌Ｂ（電力・エネルギー部門誌）, 2021 年
141 巻 6 号 p. 492－499
巻号数，ページ
キーワード

雷撃, 直流アーク, 高張力・高耐食 OPGW, 素線溶断

URL

https://doi.org/10.1541/ieejpes.141.492

筆頭著者

江藤 修三

論文名

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Region for the Detection of Hazardous Gas

掲載誌名，出版年， Applied Spectroscopy, 2022,
巻号数，ページ
キーワード

Standoff detection, Raman spectroscopy, deep-ultraviolet region, hazardous materials,
sulfur oxide

URL

https://doi.org/10.1177/00037028221094632

107

筆頭著者

神足 将司

論文名

Alternative test method of internal arcing for replacing SF6 by air in SF6-insulated power
equipment

掲載誌名，出版年， Engineering Research Express, 2021,
Volume 3, Number 3
巻号数，ページ
キーワード

sulfur hexafluoride, air, alternative test method, internal arc tests, SF6-insulated power
equipment, pressure rise, exhausted hot gas

URL

https://doi.org/10.1088/2631-8695/ac0fc2

筆頭著者

小松 秀徳

論文名

Energy fault detection for small buildings based on peer comparison of estimated operating
status

掲載誌名，出版年， Energy and Buildings, 2021
Volume 246
巻号数，ページ
キーワード

Energy fault, Electricity conservation, Information provision, Small buildings, Smart meter
data

URL

https://doi.org/10.1016/j.enbuild.2021.111110

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論文名

電力系統のレジリエンス強化と脱炭素化の両立に資する再生可能エネルギー電源の脱落特性を考慮した緊急時周波数制御

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141 巻, 6 号, p. 415－425
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電力系統，レジリエンス，緊急時周波数制御，周波数低下リレー，再生可能エネルギー，
脱落特性

URL

https://doi.org/10.1541/ieejpes.141.415

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椎名 健雄

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Live-Line Working Using Human Models With Realistic Postures

掲載誌名，出版年， IEEE Transactions on Electromagnetic Compatibility, 2021
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巻号数，ページ
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URL

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Blue Light Monochromatic Irradiation for 12 Hours in Lighting Pattern with Combinations ofBlue and Red Light Elongates Young Cos Lettuce Leaves and Promotes Growth under High
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掲載誌名，出版年， HortScience, 2021,
Volume 56, Issue 8
巻号数，ページ
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artiﬁcial lighting, blue-light receptor, leaf elongation, LED, photomorphogenesis,
phytochrome

URL

http://dx.doi.org/10.21273/HORTSCI15959-21

108

筆頭著者

地子 智浩

論文名

Cultivation of cos lettuce using blue LED and quantum dot wavelength conversion sheets

掲載誌名，出版年， Scientia Horticulturae, 2022,
Volume 295
巻号数，ページ
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Artificial lighting, Directivity angle, Energy efficiency, Monochromatic light, QD

URL

https://doi.org/10.1016/j.scienta.2021.110772

筆頭著者

地子 智浩

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Manipulation of Intraday Durations of Blue- and Red-Light Irradiation to Improve Cos Lettuce
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掲載誌名，出版年， Frontiers in Plant Science, 2021,
Volume 12, 12:778205
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artificial light, leaf elongation, leaf morphology, photomorphogenesis, light receptors

URL

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筆頭著者

地子 智浩

論文名

Time-varying Photosynthetic Photon Flux Density and Relative Spectral Photon Flux
Density Distribution to Improve Plant Growth and Morphology in Plant Factories with Artificial
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掲載誌名，出版年， The Horticulture Journal, 2021,
Volume 90, No. 2, p. 147－153
巻号数，ページ
キーワード

LED, photosynthesis, phytochrome, pulsed light

URL

https://doi.org/10.2503/hortj.UTD-R015

筆頭著者

田代 大貴

論文名

Single-Conductor Transmission Line Model Incorporating Radiation Reaction

掲載誌名，出版年， IEEE Transactions on Electromagnetic Compatibility, 2021
Volume 63, Number 4, p. 1065－1077
巻号数，ページ
キーワード

Mathematical model, Wires, Conductors, Propagation losses, Power transmission lines,
Wiring, Surface waves

URL

https://doi.org/10.1109/TEMC.2020.3041468

筆頭著者

立松 明芳

論文名

Lightning Current Simulation of 66-kV Substation With Power Cables Using the ThreeDimensional FDTD Method

掲載誌名，出版年， IEEE Transactions on Electromagnetic Compatibility, 2021
Volume 63, Number 3, p. 819－829
巻号数，ページ
キーワード

Power cables, Lightning, Substations, Wires, Poles and towers, Grounding, Conductors

URL

https://doi.org/10.1109/TEMC.2020.3028100

筆頭著者

立松 明芳

論文名

Three-Dimensional FDTD-Based Simulation of Induced Surges in Secondary Circuits
Owing to Primary-Circuit Surges in Substations

掲載誌名，出版年， IEEE Transactions on Electromagnetic Compatibility, 2021
Volume 63, Number 4, p. 1078－1089
巻号数，ページ
キーワード

Integrated circuit modeling, Surges, Finite difference methods, Surge protection, Timedomain analysis, Substations, Frequency measurement

URL

https://doi.org/10.1109/TEMC.2021.3049144

109

筆頭著者

田中 洋平

論文名

Development of a method for calculating the transmission-line constants of a three-phase
enclosure-type gas insulated bus taking the proximity effect into account

掲載誌名，出版年， Electrical Engineering in Japan, 2021,
Volume 214, Issue 2, e23331
巻号数，ページ
キーワード

method of moments, proximity effect, series impedance, shunt admittance, surge
impedance

URL

https://doi.org/10.1002/eej.23331

筆頭著者

田中 洋平

論文名

方形断面洞道に布設されたケーブルの線路定数計算手法の開発

掲載誌名，出版年， 電気学会論文誌Ｂ（電力・エネルギー部門誌）, 2022 年,
142 巻 2 号 p. 128－138
巻号数，ページ
キーワード

洞道布設ケーブル, 方形洞道, 線路直列インピーダンス, 線路並列アドミタンス, サージ
インピーダンス

URL

https://doi.org/10.1541/ieejpes.142.128

筆頭著者

田辺 隆也 (共同執筆)

論文名

Design and operation of energy systems with large amounts of variable generation

掲載誌名，出版年， Final summary report, IEA Wind TCP Task 25, 2021,
VTT Technology 396
出版社
キーワード

grid integration, wind integration, electricity markets, flexibility, capacity value, grid
reinforcement

ISBN

9789513887575

URL

https://doi.org/10.32040/2242-122X.2021.T396

筆頭著者田辺 隆也 (共同執筆)

論文名

Use of Voltage Stability Assessment and Transient Stability Assessment Tools in Grid
Operations

掲載誌名，出版年， 書籍「Power Electronics and Power Systems」シリーズ, 2021,
出版社
Springer NatureISBN

783030674816

筆頭著者

中野 智之

論文名

大電流のインパルスアークによる OPGW の溶損量の推定

掲載誌名，出版年， 電気学会論文誌 B（電力・エネルギー部門誌）, 2021 年
巻号数，ページ
141 巻 11 号 p. 676－686
キーワード

OPGW, 架空地線, アーク, インパルス電流発生装置, 電流密度

URL

https://doi.org/10.1541/ieejpes.141.676

筆頭著者

服部 俊一

論文名

IoT センサを用いた家庭内の行動観察

掲載誌名，出版年， 電気学会論文誌 C（電子・情報・システム部門誌）, 2022 年,
142 巻 2 号, p. 206－215
巻号数，ページ
キーワード

行動観察, センサ, スマートメータ, デプスインタビュー, 家庭, 省エネ

URL

https://doi.org/10.1541/ieejeiss.142.206

110

筆頭著者

藤縄 剛史

論文名

家庭用ヒートポンプ給湯機のエネルギー消費性能評価に関する研究（その 1）：各種試験による性能データの取得および分析

掲載誌名，出版年， 日本建築学会環境系論文集, 2021 年,
巻号数，ページ
86 巻 789 号, p. 840－851
キーワード

給湯機, ヒートポンプ, CO2 冷媒, 性能評価試験, エネルギー消費量, 性能因子

URL

https://doi.org/10.3130/aije.86.840

筆頭著者

布施 則一

論文名

Millimeter wave imaging of underfilm corrosion using a monopole antenna equipped with asemispherical silicon lens

掲載誌名，出版年， NDT & E International, 2021
Volume 124
巻号数，ページ
キーワード

Millimeter waves, Non-destructive testing, Underfilm corrosion, Stand-off distance, S
parameters

URL

https://doi.org/10.1016/j.ndteint.2021.102542

筆頭著者

牧野 裕太

論文名

油隙を有する油浸紙積層絶縁系における油分解ガスの発生様相―部分放電発生状況の違いによる様相変化―

掲載誌名，出版年， 電気学会論文誌 A（基礎・材料・共通部門誌）, 2021 年
141 巻 4 号 p. 252－459
巻号数，ページ
キーワード

OF ケーブル, 油浸紙積層絶縁系, 油隙, 部分放電, 油中ガス分析

URL

https://doi.org/10.1541/ieejfms.141.252

筆頭著者

宮嵜 悟

論文名

Calibration Scheme of Impulse-High-Voltage Measuring System Traceable to National
Standards of Japan

掲載誌名，出版年， IEEJ Transactions on Electrical and Electronic Engineering, 2021,
Volume16, Issue12, p. 1664－1671
巻号数，ページ
キーワード

impulse voltage, measuring system, calibration, traceability, national standard, Japan
calibration service system (JCSS)

URL

https://doi.org/10.1002/tee.23461

筆頭著者

宮嵜 悟

論文名

Detection of Winding Axial Displacement of a Real Transformer by Frequency Response
Analysis without Fingerprint Data

掲載誌名，出版年， Energies, 2022,
Volume 15, Number 1, p. 200
巻号数，ページ
キーワード

power transformer, frequency response analysis, winding axial displacement, fingerprint
data

URL

https://doi.org/10.3390/en15010200

111

筆頭著者

宮嵜 悟

論文名

Long-Term Stability of Reference Measuring System for Impulse High Voltage

掲載誌名，出版年， IEEJ Transactions on Electrical and Electronic Engineering, 2022,
Volume17, Issue3, p. 369－377
巻号数，ページ
キーワード

Long-term stability, impulse testing, shielded resistive voltage divider, calibrator

URL

https://doi.org/10.1002/tee.23520

筆頭著者

宮嵜 悟

論文名

Method of Evaluating Probability of Pressboard Failure in Power Transformer with Disc-Type
Winding Due to Electromagnetic Force by External Short Circuit

掲載誌名，出版年， IEEJ Transactions on Electrical and Electronic Engineering, 2021,
Volume16, Issue7, p. 973－981
巻号数，ページ
キーワード

power transformer, failure probability, pressboard, axial displacement of winding

URL

https://doi.org/10.1002/tee.23381

筆頭著者

山口 宜大

論文名

高圧配電線の構成が直撃雷による相間スパークオーバ発生率に与える影響

掲載誌名，出版年， 電気学会論文誌Ｂ（電力・エネルギー部門誌）, 2022 年,
巻号数，ページ
142 巻 2 号 p. 114－120
キーワード

高圧配電線，径間途中断線，相間スパークオーバ発生率，架空地線

URL

https://doi.org/10.1541/ieejpes.142.114

筆頭著者

山本 博巳

論文名

Concept of Carbon-related Energy to Connect Energy Consumption with CO2 Emissions

掲載誌名，出版年， Journal of the Japan Institute of Energy, 2021,
Volume 100, Issue 6, p. 62－72
巻号数，ページ
キーワード

Carbon-related energy, CO2 emissions reduction, H/C ratio, Kaya identity

URL

https://doi.org/10.3775/jie.100.62

筆頭著者

山本 博巳

論文名

Cost analysis of stable electric and hydrogen energy supplies derived from 100% variable
renewable resources systems

掲載誌名，出版年， Renewable Energy, 2021,
Volume 178, p. 1165－1173
巻号数，ページ
キーワード

100% VRE systems, Stable energy supply, Hydrogen energy, Optimal mix of solar and wind
power, Hybrid energy storage system

URL

https://doi.org/10.1016/j.renene.2021.06.061

筆頭著者

米澤 力道

論文名

Development of a reversible transformer model for the calculation of inrush currents
energizing from higher and lower voltage windings

掲載誌名，出版年， Electrical Engineering in Japan, 2022
Volume 215, Issue 2, e23365
巻号数，ページ
キーワード

air-core inductance, black start, electromagnetic transient analysis, energization from lower
voltage winding, reversible transformer model

URL

https://doi.org/10.1002/eej.23365

112

筆頭著者

米澤 力道

論文名

低圧巻線側からの加圧にも対応した励磁突入電流解析用変圧器モデルの開発

掲載誌名，出版年， 電気学会論文誌Ｂ（電力・エネルギー部門誌）, 2022 年,
142 巻 1 号 p. 23－33
巻号数，ページ
キーワード

変圧器リバーシブルモデル, 瞬時値解析, 逆充電, 全停復旧, 空芯インダクタンス

URL

https://doi.org/10.1541/ieejpes.142.23

113

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